Cnn lstm kerasemplois
j'ai besoin d'un code python qui crée un modèle LSTM pour la reconnaissance de la voix , using a dataset that i will provide later, le code doit entrainer et sauvgarder le modèle , et le tester en enregistrant des simples avec le microphone ,
theme : Comparison with different Transfert Leraning models of Detection and Classification of Diabetic Retinopathy EXPLICATION: • modifier des modèles CNN prés-entrainée la Rétinopathie Diabétique capable de classer des images rétiniennes en fonction de la pathologie présentée. • Evaluer les modèles proposés par différents métriques utilisé dans la littérature. • Faire une comparaison entre ses modèles( Accuracy , Sensitivity,Specificity ) (accuracy plus de 80%) • code source avec python sur google colab • dataset Ne pas dépasser 8 Go •La durée est de 3 jours ou 4 jours maximum
Parler du mouvement des BLM aux États-Unis et qui a émergé dans le monde entier. Ma problématique se pencherait sur la manière dont ce mouvement, qui lutte pour une bonne raison, pourrait être vu comme une atte... pourrait être vu comme une atteinte à l’espace public. Un espace que l’on considère comme sécurisé mais qui est devenu un espace de violence et de contamination du à l’actualité mondiale qui est le covid-19 aussi connu sous le nom de coronavirus. Les informations sur le mouvement des black lives matter ainsi que les manifestations seront tirer des grandes chaines télévisées américaine tel que CNN ensuite plusieurs articles ont ét&ea...
Je voudrai un site un peu comme ou . Ce sera un réseau social , ou les gens pourront partager des articles d'agence de presse ( CNN ... ) ou alors construire leur propre article . Ils disposeront d'un profil / la possibilité de suivre des gens , mais il y aura aussi les tendances ( comme sur twitter ) . Lorsque nous publierons un article déjà existant sur le web ( cnn ... ) nous serons redirigé ( comme sur reddit ) . Plus de précision plus tard .
...further consideration. The budget is negotiable based on your skills and experience. Further Details: If you have academic writing experience in ‘Bioinformatics’, ‘EEG’, ‘Autism/Non-autism’, and ‘machine and deep learning’ domains, then this project is for you. Read it thoroughly; if you are confident to complete it, please send your interest and work in my inbox. I have implemented GB, XGB, and LSTM models to classify autism and non-autism EEG biosignal datasets (). I used preprocessing and feature engineering techniques and received significant results. I need someone who has experience in academic writing in this domain (EEG data, Autism, Deep learning). I would like to see his/her some published papers in these or related ...
This project focuses on creating a Python-based machine learning model with the purpose of analyzing historical stock price data and intraday data to predicting future values. The overall goal is to be able to evaluate investment opportunities better. Ideal Skills & Experience: - Familiarity with Python is a must, as this will be the primary language used - Proficiency in regression models, LSTM , as the chosen Machine Learning model - Experience working with stock price data analysis and forecasting - A proven record in Machine Learning project Project Requirements: - Develop a python software that can ingest and analyze historical stock price data - Apply regression models to draw predictive insights about future stock prices - Prioritize accuracy in the predictive model - ...
...currently using TensorFlow for my machine learning model. I believe the model can be significantly improved by implementing a different algorithm. In particular, I'd like to enhance the model using "Deforming CNN". Key Points: - Current ML framework: TensorFlow - Requirement for improvement: Implementing a different algorithm - Desired algorithm: Deforming CNN Ideal skills for this project: - Proficiency in TensorFlow - Understanding of Convolutional Neural Networks (CNN) - Experience with implementing and optimizing ML algorithms - Google Colab Your task would be to integrate the Deforming CNN algorithm into the existing model, troubleshoot any issues, and ensure it enhances the model's accuracy. The goal is to significantly improve th...
I'm searching for a Python developer knowledgeable in numerical data analysis. The key task of this project will be developing a Python script for classifying images. This script will then need to perform advanced data visualization tasks on numeric data. Task would be to analyze a dataset containing different types of fish breeds Images and is required to classify them using CNN based on their location and chemical compositions in various parts of an ocean/location Ideal Skills: - Excellent grasp of Python programming - Strong understanding of image classification techniques - Proficiency in numerical data analysis - Expertise in data visualization methodologies Previous experience with projects involving Python, image classification and data visualization is highly pre...
I'm seeking a skilled machine learning expert who can train a Convolutional Neural Network (CNN) for object detection, specifically tennis balls. I have my own dataset. This dataset is poor so I will need a skilled expert. I need detections on at least 50% of the frames. Key Responsibilities: - Train the CNN model on object (tennis ball) detection - Fine-tune the model for higher accuracy - Provide the trained CNN Model's code and implementation details
I’m seeking a proficient developer with experience in open source model registration on Azure ML. The task involves using a multimodel RAG to provide API's, designing verification and validation for the model, as well as working with the front and backend development team. Key Requirements are: - Expertise in Azure ML and open source frameworks. While TensorFlow, PyTorch, and Keras are all options, preference will be given to freelancers who are versatile and can recommend the best approach based on their experience. - Past work. Please provide examples of previous projects involving Azure ML and API implementation, especially those which required collaboration with a larger development team. - Collaboration capabilities. Direct collaboration with the front and ba...
Looking for someone with AI experience to partner with. I have access to historical tick data (1 second) for major forex and crypto pairs for several years. Also real time feed. I have ideas for preparing the data and can help with this part. Your part will be to create train and validate the model. If it looks good, we'll proceed to integrating with a live brokerage like Interactive Brokers.
I'm looking to develop a real-time Arabic Sign Lan...educational resource, specifically to cater to the needs of the general public. - **Deployment Platform:** The final model will not be deployed on any specific platform but will be available for training and inference in a .ipynb notebook. Ideal Freelancer: - Proficient in Python and MediaPipe for real-time hand tracking - Experience in developing machine learning models, especially in TensorFlow/Keras for the .ipynb and .h5 formats. - Familiarity with sign language, particularly Arabic sign language, would be advantageous. - A background in educational technology or experience in creating educational resources is a plus. Please make sure to include any related experience, projects, or research that you think would be relev...
...an specific custom ai tool for single user/propt private usage,give turbo organic internet traffic on my same as AdWords work .before post this project.I already serach about 'build ai custom model 'and I found many platform allow to build dataset/host/run custom model free of cost ,like tensorflow/pytorch/colab/teachable machine /diagflow/streamlit/kaggle/clarifai/python anywhere/keras etc,I can't build because i haven't knowledge of programming,don't make me I have analytic account and several AI tool available for found where traffic come on organic internet traffic generator ai tool.i like appreciate if anyone responded is fixed because no need to buy any types of online is available free of cost .the feature of my private ai
...enhance efficiency, and provide a competitive edge to our clients. Data Analysis and Visualization: Harness the power of Python libraries such as Pandas, NumPy, and Matplotlib to perform in-depth data analysis, extract actionable insights, and visualize complex data sets effectively. Machine Learning Solutions: Develop machine learning models and algorithms using Python frameworks like TensorFlow, Keras, and Scikit-learn to enable predictive analytics, pattern recognition, and automated decision-making. Web Development: Create dynamic and responsive web applications using Python-based frameworks such as Django and Flask, ensuring scalability, security, and a seamless user experience. Integration and Automation: Integrate disparate systems, automate repetitive tasks, and streamlin...
I'm looking for a seasoned Deep Learning programmer who can turn my existing CNN-based breast cancer detection code to include the VGG16 model. This will involve: - Complete refactoring of the code. - Implementation in Python using both TensorFlow and Keras. - Creating detailed comments to provide robust explanation and understanding of the code. Max Budget--> 2500 Min Requirement --> An equivalent implementation using any of VGG16 or VGG19. Link of the Project : The ideal candidate for this job would possess extensive experience in Neural Networks especially in VGG models, Python, TensorFlow, and Keras. Understanding of breast cancer detection methods would also be beneficial. I'm seeking a professional
...seeking an individual or company skilled in neural networks and Keras to develop a predictive model. This model will forecast the occurrence of a phenomenon based on historical data. Requirements: Data Acquisition: Historical data required for training the model will be fetched via an API from our comprehensive database, which is updated multiple times weekly. Data Processing: All retrieved data will be processed to facilitate effective model training. This includes Exploratory Data Analysis (EDA) to identify impactful data, outlier detection for data quality, and feature engineering to determine the final model inputs. Model Development: Train two types of models using Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) architectures: A classification model to d...
Create LSTM and GRU models fro Stock forecast.
So we are looking for an app developer who can do a project on infant child m...things data’s will be feeded from sensors controlled by esp32 module) Using yoso algorithm for speech detection, voices of mother, father and the caretaker voices are pre recorded. (So this project is basically abt babies in incubator…so in a room many babies will be there) so any other voices come other than those 3 it should show a stranger algorithm. Optional: Camera will be fixed and using cnn baby faces will be recorded… then in app it should status of baby.. if its crying , sleeping or laughing eg : notification in app will be baby is smiling. Therefore, past experience with this functionality, though appreciated, is not necessary for this project. The budget allocated for...
I need a Python-based machine learning program that can predict stock prices based solely on historical stock prices. Key Features: - Utilizes Historical Stock Prices: The program should be trained on historical stock price data. - Use these models: CNN-LSTM, ARIMA-LSTM, RNN, random forest models, and plot a single graph and predict for next 'n' days. - Educational Purpose: I'll be using this program for educational purposes, so it should be designed for easy understanding and manipulation. - Interactive: It should have interactive charts and graphs to better visualize the data. I also need the program to allow me to input different data sets, so that I can test its accuracy and learn more about its workings. Ideal Skills: - Strong understanding of m...
...with specific experience in Convolutional Neural Networks. The primary goal of this project is to bolster our search engine ranking through effective link building. To achieve this, I need you to develop and implement a CNN model. The model will be trained on textual data from websites, which I have available for this purpose. Your responsibilities will include: - Developing an effective CNN model - Training the model with the available textual data - Implementing the model for link building Ideal candidate should have: - Proven experience in deep learning, specifically with CNN - Previous success in link building through machine learning - Proficiency in Python and relevant deep learning libraries - Ability to work independently and meet deadlines please don,t ...
use one of the following to get high accuracy: - Convolutional Neural Network (CNN) - Radial Basis Function Network (RBF) - Extreme Learning Machine (ELM) - Support Vector Machine (SVM) - Transformer using SUN397 dataset
...mother, father, and nurse. - Alert system to indicate if any other voices are detected within a 25-meter radius of the incubator. - Live Camera Feed: - Ensure continuous live streaming of the camera fixed inside the incubator, providing CCTV monitoring. - Ensure the camera feed is accessible at all times through the app. Optional Features: - *Baby Facial Expression Indicator:* - Utilize CNN (Convolutional Neural Network) for detecting baby facial expressions. - Indicate if the baby is crying, smiling, or sleeping through the app interface. - User Interface: - Design an intuitive and user-friendly interface for easy navigation and interaction. - Ensure compatibility with various screen sizes and resolutions for both mobile and tablet devices. - Reliability and Pe...
...Convolutional Neural Network (CNN) models. I need help with offline image classification and object detection tasks. Key requirements: - Proficiency in Deep Learning and TensorFlow. - Expertise in Convolutional Neural Networks (CNN) - Experience with image classification and object detection tasks. - Capability to work on an offline model. Candidates with prior experience in similar tasks will be given preference. Accuracy and efficiency of the created model are paramount. The project involves the development of a deep learning model for medical image classification, particularly focusing on chest X-ray images. The model architecture is largely in place, but there are a few key tasks that require attention: Replace Deprecated TensorFlow and Keras Meth...
I am in need of a knowledgeable Python developer to work on a project involving ticket verification using face recognition. This is a grad project. Yo...recognizes the face that appears when the camera is turned on or not, and whether the person's name and ticket are available are displayed above the face on the screen to be printed. .The ideal candidate should possess: - Proficiency in Python. - Solid experience in working with face recognition technology. - Familiarity with Deep Learning Models, more specifically Convolutional Neural Networks (CNN), as this is the model I'd like to base the facial recognition feature on. Please note, I have already collected the necessary data to be used for the face recognition feature. Contact me if your skills and experience match...
I am looking for a professional who can build a speech recognition system for me. I haven't collected a dataset yet, so I need you to take care of this for me. Ideal Skills and Experience: - Experience with building speech recognition systems - Strong understanding of Mel Frequency Cepstral Coefficients - Proficient in Convolutional Neural Networks - Ability to work under tight deadlines Please keep in mind my need for this project to be completed as soon as possible.
More details: Have you already trained a model for the CNN self-driving car using Udacity's simulator? Yes What is the main issue you're encountering with the model? The car does not start How have you been validating the performance of the model? validated the model's performance by monitoring its accuracy metric. I am currently working on a project that involves building and refining a Convolution Neural Network (CNN) model for a self-driving car. This project demonstrate basic self driving car model using udacity car driving simulator. In this project I built a Convolution Neural Network model to predict the steering angle for a virtual car in the simulator running at a constant speed. Despite successful model configuration and established bidirectional c...
I'm currently seeking a deep learning expert, capable of developing a Convolutional Neural Network (CNN)-based model for my project. The unique challenge lies in the identification and comparison of house facades, with a special focus on windows, doors, and the general architectural style. Objectives: - Use the given data to train a deep learning model able to recognize features and architectural styles with a minimum of 80% similarity. - Identify notable window shapes and types across different house facades. - Recognize distinguishing features and architectural styles. Approach: With the use of machine learning algorithms, the model should be able to identify personal preferences in facade similarities. These results aim to reflect personal tastes in architectural aesthe...
...intricate Convolutional Neural Network (CNN) model specifically tailored for Arabic sign language detection from video to text translation. We already have a video dataset available and the codes need to be presented in .ipynb files. Testing accuracy of over 90% is expected. Your task involves: - Enhancing an existing model to develop an advanced (10+ layers) CNN model, proficient in handling Arabic sign language detection. - Exploiting the Integrated Mediapipe framework for continuous, full sentence video processing. - Ensuring the system is able to transcribe videos into text efficiently and accurately. - Documenting all code clearly and thoroughly throughout the project. Ideal Skills and Experience: - In-depth knowledge and experience with CNN models and In...
I'm seeking a proficient developer conversant with advanced neural networks, with an emphasis on reinforcement learning through OpenAI. Ideally, you have: - Strong skills in Python, we will be using this as our primary programming language. - In-depth hands-on familiarity with TensorFlow, PyTorch, and Keras frameworks. - Extensive experience in developing reinforcement learning applications. - The ability to capitalize on past experiences to bring creative solutions to complex problems, while always keeping an eye on performance and efficiency. Your task will be to pioneer the development of high caliber machine learning models. I expect you to bring creativity and novelty to your work, to push boundaries and question the status quo. Apply now if this resonates with you!
I am in need of a proficient and skilled AI deep learning specialist who can write a project-specific Convolutional Neural Network (CNN) using Python. This final project deals with the processing and analysis of matrix data using a specifically designed neural network. Ideal Skills and Experience: - Extensive Python coding experience - Proven background in AI and deep learning - Strong understanding of CNNs, specifically for matrix data analysis - Experience working with square matrices Project specifics: - The neural network is to be developed and written in Python. - It will involve the processing of matrix data, specifically square matrices. - Only freelancers with a deep understanding of matrix structure should apply. This project requires a highly technical individual w...
For this project, I require a freelancer with explicit skills in Python and predictive modeling like CNN UNET,SVM,RESNET, specifically Semantic Segmentation. The primary goal is to harness AI in understanding images and mining useful insights therefrom. Using GOOGLE Colab is best for me I have code for Model i will give and i have some augmentation codes that work with colab Here's a step-by-step plan to accomplish your project:(Google Colab is Best for me) Dataset: Split your dataset into training, testing, and validation sets with ratios of 0.6, 0.2, and 0.2 respectively. You can use libraries like scikit-learn to achieve this. Augmentation: Apply various augmentation techniques to create separate augmented datasets. These techniques include: Rotation Contrast adjust...
...garantizar la fiabilidad y la escalabilidad de la aplicación. 6. Tecnologías de pruebas: - Selenium, JUnit, y Postman para garantizar la calidad y la fiabilidad del sistema. 7. Tecnologías de colaboración y gestión de proyectos: - GitHub, Trello, y Asana para garantizar la eficiencia y la colaboración en el desarrollo del proyecto. 8. Tecnologías de análisis de datos: - TensorFlow, Keras, y Scikit-learn para mejorar la eficiencia y la productividad del sistema. 9. Tecnologías de navegación: - React Router, Vue Router, y Angular Router para mejorar la experiencia del usuario en la aplicación web. Consideraciones de Seguridad: - Implementar autenticación segura y manejo de sesiones....
The model has been developed and the dataset is ready. You only need your help to complete the training of the model. There are 6 datasets, and the $100 deposit is only needed. You only need to complete the training of one dataset to achieve the required inference accuracy, which has been tested and verified. We can officially accept this project and then discuss the prices for all the projects.
In this project, I'll require a skilled coder to train a BERT model for categorizing questions into Bloom's Taxonomy on custom datasets I have. Also need to compare results by training same model using LSTM with Wiki Word Embeddings. These categories aren't traditional ones, instead, they are based on Bloom's Taxonomy. More specifically, the machine learning model should be able to sort topics into the following categories: - Remembering - Understanding - Application - Analysis - Evaluation - Creation The ideal candidate for this project has significant experience with BERT and text classification tasks, and an understanding of Bloom's Taxonomy. Having a background in education and pedagogy would be a plus, but is not necessary. Nonetheless, it's esse...
I'm looking to solve a classification problem with my tabular data using Python. Skills and Experience Needed: - Capability in Python programming is crucial, familiarity with libraries such as pandas, sklearn, and keras is necessary - You should be proficient in machine learning algorithms, specifically focusing on data classification - Experience in handling and manipulating tabular data for machine learning applications - Understanding of data cleaning, preprocessing and feature engineering Project Requirements: - Development of a Python-based data classification model - Utilizing machine learning techniques to process tabular data - Rigorous testing of the model's accuracy and improving it if required - Documenting the steps and coding process for future reference ...
I NEED EXPERT ON CNN and ANN FOR MACHINE LEARNING ON PREDICTION FOR A BETTING SITE
I'm looking for a freelancer who can implement four separate deep learning models for deepfake image detection. The desired models are: - CNN - Vgg16 - Resnet50 - A fourth model of your recommendation Three datasets will be used for training and validation. I prefer the usage of FaceForensics++, CelebDF, DFDC, but I am open to other high-quality image datasets. The analysis of these models should include: - Accuracy evaluation - False positive and false negative analysis - Comprehensive comparison of model performance The freelancer has the freedom to prioritize the implementation of these models as they see fit. I am open to suggestions on the pros and cons of each model, and how they could serve my project best. In your proposal, I am particularly interested in a detailed...
...processing system tailored to my distinct specifications. Key features must incorporate Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) with 3 hidden layers. Ideal candidates will have a robust comprehension of signal processing, 1D/2D Mel Frequency Cepstral Coefficients (MFCC), and be adept at coding in either MATLAB or Python languages. This software must be designed to successfully identify isolated words ranging from one to ten. Key Skills & Experience: • MATLAB or Python programming • Proficient with ANN & CNN • Expert in Signal Processing • Knowledge of MFCC • Ability to implement 3 hidden layers in CNN I welcome professionals who are enthused about developing cutting-edge signal processing systems...
I'm seeking a skilled developer to create an efficient chatbot using the project platform. This chatbot will mainly handle three key functions: answer customer queries, provide health insurance quotes, and direct clients to the appropriate department. Essentially, this bot will act as a Virtual Customer Support, addressing users' needs accurately and promptly. The interface should encaps...addressing users' needs accurately and promptly. The interface should encapsulate a friendly and approachable feel, ensuring user comfort while enhancing communication. Ideal freelancers for this project should have significant experience in chatbot development, knowledge of health insurance, and excellent UI design skills to meet the design specifications. Programming: Learning 3. ...
I'm in need of a proficient speech recognition developer with expertise in artificial neural networks (ANN) and convolutional neural networks (CNN) to build a system able to recognize isolated words. The system needs to process spoken numbers one to ten. Proficiency in MATLAB or Python is key to succeeding in this task. Key requirements are: - Proficiency in either MATLAB or Python, as you'll be writing the code in one of these languages. - Experience with 1D or 2D Mel Frequency Cepstral Coefficients (MFCC) signal processing methods. You'll be managing input features with either of these methods. - Understanding of ANN and CNN for network implementation. - To create a system capable of recognizing isolated words, specifically the numbers one through to t...
...counting, which will be a substantial addition to your professional development portfolio. Simple Theory SSD detector We are using a SSD Single Shot Detector with a MobileNet architecture. In general, it only takes a single shot to detect whatever is in an image. That is, one for generating region proposals, one for detecting the object of each proposal. Compared to other two shot detectors like R-CNN, SSD is quite fast. MobileNet, as the name implies, is a DNN designed to run on resource constrained devices. For e.g., mobiles, ip cameras, scanners etc. Thus, SSD seasoned with a MobileNet should theoretically result in a faster, more efficient object detector. Centroid tracker Centroid tracker is one of the most reliable trackers out there. To be straightforward, the centroid tr...
...for an expert in deep learning and mobile app development. The primary purpose of this venture is to develop a highly intuitive and interactive mobile application that uses CNN, MobileNet, and VGG architectures for melanoma detection. Key Deliverables: • Design and implementation of a robust and efficient deep learning model, capable of increasing the accuracy of melanoma detection. • The model should be built on platforms like Keras, PyTorch, and TensorFlow. Skills and Experience: • Extensive experience with deep learning and neural networks, particularly with CNN, MobileNet, and VGG. • Proficient in using Keras, TensorFlow, and PyTorch. • Proven track record in mobile application development, preferably experienced with creat...
I'm in need of an experienced Python developer to build an ultra-fast Convolutional Neural Network (CNN) model for a tabular dataset. The primary purpose of this model will be classification for a big dataset( 500MB) The output of the classification will be in 3 stages classification : - binary - 8 classes - 48 classes Key deliverables: - A highly efficient and fast CNN model - Clear documentation of the code and steps involved in the development process. - The dataset classification needs alot of balancing Preferred Experience and Skills: - Strong expertise in Python programming - Proven experience in CNN model development for data classification - Familiarity with Keras, TensorFlow, or PyTorch is a plus, although it's not mandatory since I ...
My project focuses on refining the existing model used for oil flow forecasting in pipelines. While the current model employs a weighted average technique, there's a need to reduce the forecasting error. Therefore, I'm looking for someone with: - In-depth knowledge and experience with forecasting models such as ARIMA, SARIMA, Prophet, and LSTM. - Track record of successful performance enhancement in forecasting models. Your main task will be to - Review and understand the existing baseline model. - Identify shortcomings and avenues for improvement. - Develop and implement solutions aimed at specific goal of reducing the forecasting error. Ample experience and a strong understanding of forecasting models are essential, as the project calls for the ability to critically...
Please check project proposal and accept it
More details: Which industry or field is your project related to? Computer Science and Engineering What is the main objective of your deep learning project? 1. To implement A3C algorithm with LSTM for autoscaling in Mobile Edge Computing. 2. To implement PPO for autoscaling in Mobile Edge Computing. What programming languages are you comfortable working with? Python
I am seeking a skilled professional to develop a speech recognition system using deep learning with an emphasis on DSP projects. Requirements: - Strong understanding of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) - Proficiency in Python programming language - Expertise in digital signal processing, specifically Mel Frequency Cepstral Coefficients (MFCC). Both 1D and 2D extraction are acceptable. - Develop a system capable of recognizing 10 isolated words (one to ten) Ideal freelancer will have extensive experience in machine learning, deep learning and signal processing. Prior work with speech recognition systems will be a great advantage. Efficiency and attention to detail are valued in this project.
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I'm seeking a professional with a solid understanding of SEO and established connections with popular news websites such as ABC News, Al Jazeera, BBC, Bloomberg, BuzzFeed News, CNN, Coda Media, The Daily Telegraph, Deadline Hollywood, The Economist, Financial Times, Forbes, Gizmodo, HuffPost,The Independent, The Indian Express, The Intercept, Los Angeles Times, MSNBC, National Geographic, NBC News, The New York Time, Newsweek, Reuters, Time, USA Today, The Wall Street Journal, The Washington Post, My key objective lies in substantially increasing website traffic. I need the backlinks to be permanent and placed on these particular news sites to target the general public. Therefore, the freelancer must have experience in these platforms and know the correct placement along wi...
I'm currently working on a project involving Machine Learning and Deep Learning, focusing on Meta Learning and Concept Drift. Our objective is to assess water quality using Meta Learning techniques. I've attached the base paper along with its GitHub repository link containing the code. In the GitHub repository, we have two detectors - one based on CNN and another on RNN. We're looking to expand our models by adding two more variations. Additionally, we have our own datasets related to water quality that we intend to utilize for this project. We're interested in collaborating with you for this task. Please let us know if you're available and willing to assist us. If so, we can discuss the details further and proceed with the project. GitHub Link :
