Automlemplois

J'ai entrainé un modèle de classification de sac grâce à google cloud autoML vision, je ensuite utilisé ce modèle dans un code python. Et maintenant j'ai besoin de faire une interface graphique avec ce modèle. J'utilise streamlit mais je ne sais pas comment intégrer mon modèle dans mon code streamlit. C'est très rapide à faire, il faut que ce soit fini aujourd'hui

...and be demonstrable live. Functionality includes project creation, cloning, renaming, deletion, SharePoint ingestion via Microsoft Graph using project-specific folders, API-based ingestion from a survey platform (e.g. SurveyMonkey with dummy data), a collaboration platform (e.g. Miro board), at least one structured/CRM-style API, and manual file uploads. AI processing must use Azure OpenAI and AutoML-style approaches with automatic data-type detection and automatic model selection, fully controlled by prompts (no hardcoded logic). The UI must allow viewing, selecting (single, multi, select all), downloading, and deleting AI outputs per project. You will receive a system email and password and are responsible for setting up Azure, required Microsoft services, demo accounts, APIs, ...

I’m building an API that can automatically crawl Instagram, YouTube and TikTok profiles, pull back up-to-date influencer metrics, and then run...solution must: • Respect each platform’s ToS while crawling. • Return responses in <500 ms for cached profiles. • Scale to hundreds of thousands of profile requests per day. • Offer clear authentication and usage-limit hooks so I can meter access. Please outline the libraries, AI models or third-party services you plan to leverage (e.g., Scrapy, Playwright, proxy rotation, NLP packages, AutoML tools). Once we agree on the approach, I’ll provide environment credentials and a short list of test profiles; the API will be accepted when it passes those tests and the documentation includes strai...

...data preparation through to an endpoint ready for real-time and batch predictions. Here is how I picture the engagement flowing: • Spin up and configure the GCP project, set IAM so I can audit all activity and stay HIPAA-ready. • Import a sample of de-identified notes, split them into train/validate/test sets, and register the dataset inside Vertex AI. • Train a text-classification model (AutoML or custom if you believe it will perform better), fine-tune until we meet agreed metrics, and export a concise evaluation report. • Deploy the model to an endpoint, wire up a simple REST or Cloud Function trigger so I can hit it with new notes and receive the category predictions. • Hand over clean, reproducible code (Terraform or gcloud scripts for infr...

Quiero implementar una solución de IA que tome mis datos de rendimiento históricos, los interprete y me anticipe escenarios para que mis jornadas en el estudio sean mucho má...basadas en las variables que el modelo identifique como críticas. Aceptaríamos la entrega cuando: 1. El modelo obtenga precisión y recall aceptables en validación con mis datos históricos. 2. Pueda ejecutar el dashboard o script en mi equipo sin dependencias complejas. 3. Reciba un breve manual para seguir entrenando el sistema con datos futuros. Si crees que una arquitectura distinta (R, AutoML, etc.) encaja mejor, adelante: lo importante es lograr predicciones fiables y una implementación ligera que pueda mantener yo mismo. Estoy listo para...

...dashboard. • Craft a companion deck that highlights the project’s goals and objectives, weaving in snapshots of the report to keep the narrative grounded in real visuals. Deliverables - PowerPoint (or Google Slides) deck covering project goals and objectives. - 5-7 minute demo video, voice-over optional, capturing live interaction with the Power BI file and any AI features you employ (e.g., AutoML, Azure ML, Python visuals). - The PBIX file used in the recording so the audience can explore it afterward. Acceptance The work is complete when the deck is logically structured, the video runs smoothly from data load to insight, and both assets together tell a clear, convincing story of what this analytics project will achieve....

...dashboard. • Craft a companion deck that highlights the project’s goals and objectives, weaving in snapshots of the report to keep the narrative grounded in real visuals. Deliverables - PowerPoint (or Google Slides) deck covering project goals and objectives. - 5-7 minute demo video, voice-over optional, capturing live interaction with the Power BI file and any AI features you employ (e.g., AutoML, Azure ML, Python visuals). - The PBIX file used in the recording so the audience can explore it afterward. Acceptance The work is complete when the deck is logically structured, the video runs smoothly from data load to insight, and both assets together tell a clear, convincing story of what this analytics project will achieve....

...valuations without touching the code. • Clear documentation and a quick handover session so we can extend or adapt the inputs later. • Legal document review or drafting for the execution of the evaluated service. The final output must include a cash flow and NPV breakdown by months and items. Python, pandas, NumPy, or other financial libraries are perfectly fine, but if you have a faster approach (AutoML, Excel-VBA, or proprietary), I am open to hearing it. As long as the numbers are defensible and the workflow is repeatable, the tech stack is up to you. Target delivery: within one month. I will provide fast feedback on each milestone so we can lock the logic early and leave buffer time for polish and testing. ...

...(Core) Python → Main AI/ML programming language R → Statistical analysis, bioinformatics C++ / Rust → High-performance simulation JavaScript (Node.js, React, Vue, Angular) → Frontend + backend web apps AI / ML / DL Frameworks TensorFlow / PyTorch → Machine Learning, Deep Learning Scikit-Learn → Classical AI/ML models Keras → High-level DL prototyping LangChain + HuggingFace → LLMs, generative AI AutoML (, AutoKeras) → Automated AI pipelines Drug Discovery & Chemistry Tools DeepChem → AI for drug discovery & molecular modeling RDKit → Cheminformatics, molecule manipulation OpenMM / GROMACS → Molecular dynamics simulation PyMol / Chimera → 3D visualization of molecules Quantum & AGI Tools Qiskit (IBM) &ra...

...(Core) Python → Main AI/ML programming language R → Statistical analysis, bioinformatics C++ / Rust → High-performance simulation JavaScript (Node.js, React, Vue, Angular) → Frontend + backend web apps AI / ML / DL Frameworks TensorFlow / PyTorch → Machine Learning, Deep Learning Scikit-Learn → Classical AI/ML models Keras → High-level DL prototyping LangChain + HuggingFace → LLMs, generative AI AutoML (, AutoKeras) → Automated AI pipelines Drug Discovery & Chemistry Tools DeepChem → AI for drug discovery & molecular modeling RDKit → Cheminformatics, molecule manipulation OpenMM / GROMACS → Molecular dynamics simulation PyMol / Chimera → 3D visualization of molecules Quantum & AGI Tools Qiskit (IBM) &ra...

...(Core) Python → Main AI/ML programming language R → Statistical analysis, bioinformatics C++ / Rust → High-performance simulation JavaScript (Node.js, React, Vue, Angular) → Frontend + backend web apps AI / ML / DL Frameworks TensorFlow / PyTorch → Machine Learning, Deep Learning Scikit-Learn → Classical AI/ML models Keras → High-level DL prototyping LangChain + HuggingFace → LLMs, generative AI AutoML (, AutoKeras) → Automated AI pipelines Drug Discovery & Chemistry Tools DeepChem → AI for drug discovery & molecular modeling RDKit → Cheminformatics, molecule manipulation OpenMM / GROMACS → Molecular dynamics simulation PyMol / Chimera → 3D visualization of molecules Quantum & AGI Tools Qiskit (IBM) &ra...

...on Google Cloud Platform. This project aims to leverage Vertex AI, BigQuery, and Looker to power a real-estate intelligence platform focused on data integration and analysis. Key Requirements: - Develop a robust data pipeline using GCP services. - Integrate multiple data sources including real estate listings, market trends data, and customer behavior data. - Utilize Vertex AI features such as AutoML, custom model training, and model monitoring. - Ensure seamless data flow into BigQuery for efficient storage and querying. - Create insightful visualizations and reports using Looker. Ideal Skills and Experience: - Proficiency in Google Cloud Platform, especially Vertex AI, BigQuery, and Looker. - Strong background in data engineering and integration. - Experience with AI model de...

...• Smart alerts: Buy/Sell suggestions based on AI predictions • Integration with two data sources: one via paid API, one via scraping • Google Vertex AI AutoML integration for market prediction • Clean, modern UI using Tailwind CSS • Strategy bots: multiple models running different logic (“bots”) with success tracking • Users can follow bots, view their recommendations, and compare performance • Fully documented backend structure (Firestore, Functions, secure architecture) Ideal candidate has: • Experience with Firebase (Auth, Firestore, Functions, Hosting) • Proven experience in AI/ML systems (especially Google Vertex AI or AutoML) • Experience with payment/subscription systems (Stripe or equivalent) ...

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we would like a logo for our website it is for Easy Automatic Machine Learning The logo should be inspired by logo enclosed and should have the same color

Hi Rifat Jerin N., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

...building a church-specific MacOS application using SWIFT or any other languages. The app will have several key features: I am not a Tech guy but I think high-level overview like below: 1. • Capture audio input (External sources like Microphone) from the MacBook. • Stream the audio to Google Cloud's Speech-to-Text API for real-time transcription. 2. Translation: • Utilize Google Cloud's AutoML Translation API to translate the transcribed text into the desired language. 3. Text-to-Speech: • Send the translated text to Google Cloud's Text-to-Speech API to convert it back into audio. • Stream the audio to Zoom as an audio input source (like Virtual audio interface). Just like some VoiceChange app with a virtual audio interface N...

Seeking an expert to resolve a recurring issue in my AutoML pipeline, part of my Google Cloud Vertex AI setup. - The pipeline is a simple one without requiring any coding. It has been failing consistently after a short execution time. - The dataset being used is relatively small, which eliminates the possibility of resource scarcity. - The stage where the pipeline fails is during model training. Ideal candidates should be well-versed in Google Cloud Vertex AI and have a strong understanding of AutoML pipelines and their potential bottlenecks. Experience with debugging and resolving issues in AutoML pipelines will be a definite advantage.

I'm looking for a skilled developer capable of building a church-specific mobile application using SWIFT. The app will have several key features: - Sermon streaming...capable of building a church-specific mobile application using SWIFT. The app will have several key features: - Sermon streaming: The app should be able to send direct the audio from Macbook(audio input source) for translation (GCP) and send back the text-to-speech (GCP) to Zoom as Audio-in. Ideally, you will have a deep understanding of integrating Google Cloud APIs, including Speech-to-text, AutoML translation and text-to-speech. I will provide all required APIs for development. Strong experience in SWIFT programming is a must for this project. Your experience in building similar apps or projects will be a g...

...French use only one data set from Table 2 Table 2: Summary of existing widely-used biomedical NLP datasets for evaluation A Survey of Large Language Models in Medicine: Principles, Applications, and Challenges prove quality by using one of good translation metric for example BLEU Score (Bilingual Evaluation Understudy) or etc (metric) (metric) time: 2 days some ideas

I have a model for video classification based on AutoML and I need to deploy the model to the endpoint. If you have already experience in vertex AI, please let me know. Thanks.

I am looking for someone to help me build an accurate model for Google automl ai using predictive analytics and natural language processing with a desired accuracy between 80 - 90%. The model will be used for automotive inspections and I need help with labeling the data. I'm looking for someone who understands the technology and can develop an effective model. You should have experience in the use of artificial intelligence and its implementation for projects like these. If you think you are the right candidate for this project, please do get in touch.

I am looking for a skilled developer who can help me migrate my current codebase from Google Cloud AutoML to Vertex AI. The ideal candidate should have experience with Python and be familiar with both platforms. Requirements: - Proficiency in Python programming. - Experience working with Google Cloud AutoML and Vertex AI - Proficiency in conda environment used currently - Use terrafrom for automation - Ability to migrate codebase from AutoML to Vertex AI. - Familiarity with machine learning and AutoML models. Responsibilities: - Review the existing codebase written in Python and assess its compatibility with Vertex AI. - Modify and update the code to ensure smooth migration to Vertex AI. - Ensure that the code is compatible with different datasets, as per th...

...the machine i would like you to use a other AI generating machine (such as midjourney ) to generate before and after pictures of people with wrinkles on the forehead and then no wrinkles. be carefull it must not change the rest of the face only the area targeted wich is the forehead. Step 2: use a machine learning platform such as google teachable machine or other available apps ( 1. Google AutoML Vision Microsoft Azure Custom Vision IBM Watson Visual Recognition Amazon Rekognition Clarifai: Deep Vision) to analyse the pictures generated in step 1 so that it can learn to do the same Step3 : use a random picture of someone with wrinkles in the forehead and test the machine to see if it learnt to do this properly. If that works then i will give similar task for other parts ...

Kod bilgim yok. Bir örnek üstünde çalışacağız. Saatlik olarak ücret ödeyeceğim. Ekran paylaşmı yapacağım. Örneğin automl üstünde çalışabiliriz.

Merhaba, Google vertex ai automl ile mesleğimle ilgili bir model geliştirmeyi öğrenmek istiyorum. Online olarak canlı bir örnek üstünde ekran paylaşımı ile eğitim almak istiyorum. AUTOML konusunda deneyimi olan arkadaşlarımızın benimle iletişim kurmasını rica ederim. .

Hi , I'm looking for a trainer who can train me with the following topics - AutoML ML with spark Basics of Azure Basics of Bitbutket

My research is focusing on improving AutoML, especially on the pre-processing part. It is stated in some articles that at the moment, data pre-processing is not handled very well by any of the AutoML tools and still requires considerable human intervention. I propose to use multimodal data fusion by using deep learning to convert every data type to numerical which in pre-processing part. The AutoML that I want to focus on is Auto-sklearn which uses python coding. I am a beginner in python by the way. So, I need to have systematic coding source in python of auto-sklearn and also coding source in multimodal deep learning to understand how to integrate both frameworks. If somebody can be interested to approach me, please let me know.

Want to ceate ML pipeline on GCP using , automl vision, automl forecating and making batch predictions. Must have expertise on making ML pipeline using Vertex.AI.

hello , i have few azure ml endpoints deploy using Realtime inference , i tested using postman and works fine , but i want to upload live data into the model to have real time inference and show the forecasting value into at graphic using regular python and also POWER BI , also i have few automl ml model deploy using my local Kubernetes but is not working , can you take care of both problems ?. please ignore the $10.00 budget

hello , i have few azure ml endpoints deploy using Realtime inference , i tested using postman and works fine , i have at WebSocket to feed real time data , i want to upload live data into the model to have real time inference and show the forecasting value into at graphic using regular python and also POWER BI , also i have few automl ml model deploy using my local Kubernetes but is not working , can you take care of both problems ?

Hi there, We're planning to develop a chatbot service that should be able to give productadvise based on large sets of product data (specs, reviews etc) and some user info. We're planning to build it in python/ dialogflow / automl. We're splitting the MVP of this project in different milestones. Of which the Setup of dailogflow and connect with whatsapp business and import the firstdataset and connect it to dialogflow would be the first two. Let me know if you need more info or want to have a chat.

We have a translation web application written in Laravel PHP. It currently uses Amazon AWS Translator, but we want to either replace it with Google AutoML Translator or add Google AutoML Translator to the application. Screenshots of the current web application can be found at Candidates should confirm that they have experience with Laravel and Google APIs. Thank you.

This will be a long project that could take 1-2 months, you can almost view it as a small research project. I am a professor at NYU, and at the end of the project, I will send you a letter to say that you have been my research assistant on this reseearch project for two months from 2021 September, to 2022 November. Perhaps you have heard of AutoML models, the idea is that we want to develop a method that would automatically create features (feature engineering), and hyperparameter tuning. What makes it easy in this project is that we already know what model we will use, and that is a lightGBM model. The entire pipeline would involve preprocessing, feature engineering, feature selection, and then finally hyperparameter tuning. There are many solutions on GitHub that would help us d...

We want to use Google AutoML or Microsoft Azure Translator to build a custom machine translation application. For example, see and ). In order to build a custom AutoML / Azure application, AutoML / Azure must first train using data (see , , ), which the user will provide. After the custom translation model is trained, the user can then use the translation application to translate new passages

The project are to predict earthquake. - Data have been pre processed. - Have pre-models (99% accuracy, insane!) - Currently having issue with imbalance dataset. - Need some recommendation and script debugging. - We can collaborate work in github. I would very much appreciate if we can work together create a complete script for all machine learning models. We could start from scratch as well. I have high end workstation (computational power is not an issue)

We need to Develop AutoML for Arabic Language Text. Use Firebase ML to train and deploy models. Data will be collected from social networks.

i would like to know how much it cost to run image recognition for construction to detect building defect. the client has pools of photos using or Google AutoML vision.

Create a model using automl to predict categories from the product name.

We are looking for a Senior Python Developer (Minimum 5 years of experience) to write some modules for the AutoML project we are developing. The time we can allocate for this module is one month, we are ready to continue to cooperate in the future. You don't need a machine learning background for the task to be done. If you are very good to find solutions to complex algorithm problems, possess problems solving capacity, precision, creativity, and can tell the basic difference between list and tuple in Python - we are waiting for you! What will you do? You will develop a large project related to Artificial Intelligence and Machine Learning (previous experience in Artificial Intelligence is not required)

Need need developer experience in autoML vision api for image processing

Need need developer experience in google vision apiand autoML vision api for image processing

Machine learning, MLops, AutoML

Build a architecture using MLops AutoML concepts

I have already a working CLI based model which does automatic Machine learning. I am looking for a person who can help me to convert it into a web based app with various functionalities.

Looking for a automl developer. We are developing a application similar to Alteryx AutoML. Please note you must have experience with automl.

Problem: Can you classify electronic music? How well can you do? ? Dataset: ? Submission: notebook (.ipynb or .html) with all relevant code and results, along with a paragraph of self-assessment in the end. D...Electronic? music among other genres d. Clearly display the model performance e. At the end of the notebook, describe in a few sentences (fewer than 250 words) how confident you are in your results and why ? Submit the notebook either in .ipynb or .html format. Please make sure all the code used is clearly visible in the notebook. Requirements ? The usage of any packages/libraries is allowed, although AutoML libraries (like H2O) are discouraged. ? All user-defined functions/classes should be visible in the submitted notebook

I have deployed a project that uses the GCP AutoML API PredictionServiceClient. We are using: use GoogleCloudAutoMlV1beta1ExamplePayload; use GoogleCloudAutoMlV1beta1Image; use GoogleCloudAutoMlV1beta1PredictionServiceClient; And are receiving successful results, ie: Labels. We need to return the bounding box of the successful results, and I am battling to find any documentation that speaks to the contents of the results. Your help will be greatly appreciated.

I have a project that integrates posting images to the AUTOML VISION API. I am battling with the authentication onto my Google Services Willing to increase payment, need this today - in few hours.

...vehicles and power generation systems will be designed, missions will be planned, and threats will be defended against. Expertise you need for this job: - Experience in Symbolic Artificial Intelligence - Familiarity and experience in neural-symbolic architectures / hybrid intelligence highly desirable - Familiarity and experience in program synthesis highly desirable - Experience in AutoML, with broad range of ML models (probabilistic, gradient boosting, DL, …) - Experience with Reinforcement Learning - Experience building/adapting/training language models, e.g. GPT [2, 3, Neo, J], BERT, etc. - Experience with time series / artificial intelligence techniques for transient behavior / time dependence, memory, and attention...