Pysyft inferenceemplois

Structuring and formalization of information, design and programming of cognitive systems (knowledge processing systems). The specialist will need to develop a universal cognitive model of knowledge and a system for processing this knowledge (extraction, storage, search for knowledge, logical and statistical derivation of new knowledge) General IT requirements: • kno...Experience in creating data storage and processing architecture and knowledge (data architectures, data models, data warehouses / data lakes). Knowledge Engineering Specific Requirements: • experience with semantic web (SPARQL, Linkde data, RDF, OWL, SWRL, RuleML, etc.); • experience with ontologies; • experience and / or development of a knowledge storage system; • development experience of logic...

Forms, policy inference, forms generation, forms templates, forms retrievals underwriting rules

I would like to detect and t...should be created: You implement this part: var MyTracker = function() { MyTracker(this, 'constructor'); } (MyTracker, ); var MyTracker = function() { = function(pixels, width, height) { // preprocess the pixels so that it has the right format for the model // Run inference with model ('track', { // Return the bounding box coordinates (if a pointing hand is detected) }); } } I need the documented pipeline or video that I can run myself after delivered to retrain more images. A based tracker that can be used with I am willing to pay a bonus if you can do it wonderfully.

Modify any existing image inference in tensorflow with a greater than 90% accuracy rate to do image recognition and generate a model file for a given dataset(which i will provide upon agreement)

This project will introduce you to the data analysis process that you will be using throughout and you will go through the process of calculating summary statistics, drawing an inference from the statistics, calculating business metrics and using models to forecast future growth prospects for the companies. The goal is for you to perform an analysis and also create visual tools to communicate the results in informative ways. For the final project, you will conduct three tasks: 1) complete your own data analysis and create a presentation to share your findings, 2) develop a dashboard for a Profit and Loss Statement. 3) create a Financial Forecasting Model using three scenarios. You should start by taking a look at your dataset and brainstorming which sub-category and company ...

I am looking for someone who can urgently write inference to my project quickly. I have 22 questionnaire and inference has to be written for 22 questions 70 words max

I am looking for someone who can urgently write inference to my project quickly. I have 22 questionnaire and inference has to be written for 22 questions 70 words max

I have a matlab function that takes in 4 int inputs and outputs an int. I used the gui to build a FIS. I need to use the FIS in my java web app and from researching online this is not possible.

We need the following for a social science topic research for thesis: 1. Data descriptive analysis figure with provided excel data. 2. To analyze the relationship between variables (to be specified) 3. Technical note and observation from prepared figure, (half page to 1 page) for each header, total 8. Applicant should be familier with SPSS tool and fluent in developing qualitative inference through technical/discussion note. It will be a bonus if applicant is familiar with the topic on entrepreneurship.

Logic, Propositions, compound propositions, propositional variables. Logical operators. Truth tables. Logical equivalence. Logical equivalence with standard logical equivalences. Inference rules. Predicates. The universal and existential quantifiers. Negating quantifiers Sets: Set comprehension The cardinality of a set Set membership (an element of a set)subset of a set A proper subset The power set of a set Set operations: the union, intersection, set difference etc etc etc

Our project is based in squeezedet which can be found here () We are able to train the model and get fairly good results. Basically, we now want to bring this model to deployment (inference). This is the help we need. 1. To help us identify if the model is suitable for deployment. For example, we see the input to first layer is batch, we want to do object detection in real-time. 2. Take the checkpoints files and write a script to freeze the graph. 3. Write a script to optimize the graph for inference. 4. Write a script to convert to TFLite format. 5. Write a simple script to load the model in TFLite format and load an image to test object detection.

I want a python script written which can achieve the following: 1. Perform inference using a NVIDIA DIGITS TRAINED SEMANTIC SEGMENTATION MODEL on a video stream by subscribing to an ROS topic or by using a webcam stream connected to my system 2. Inference can be performed with Tensorflow but TensorRT is prefered 3. Opencv support must be included so that i can perform further operations on the objects detected by the semantic segmentation

...Experience with medical terminology preferred. Education/Licensure: High school diploma or general education degree (GED) Skills and Abilities: Language Skills: Strong communication skills both written and verbal to work with multiple internal and external clients in a fast-paced environment Mathematical Skills: Ability to work with mathematical concepts such as probability and statistical inference. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. Reasoning Ability: Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Computer Skills: Ability to create and maintain documents using Microsoft Office (Word, Excel, Outlook, PowerPoin...

Dear Python expert, Using the below tensorflow face detection library, I need a python script which can parse through a folder of images and detect faces (inference) Following are the requirements. 1) Parse through a folder which can have 20,000+ image files 2) Detect faces and draw the bounding box and save to a folder named "detected" 3) Images without faces need to copied to another folder named "undetected" 4) Make the face-detect inferencing in multi thread so that the operation will complete faster. 5) The script needed to work in window OS. Happy bidding.

STats and inference n a simple dataset excl

Hi, Need help understanding propositional logic - natural deduction and rules on inference

I need help with building/(or customizing from keras/) an OCR system based on Keras and Tensorflow. The OCR is to recognize font-generated text with noises in the background. Keras training and export .h5 model, export to .pb file to use on C# project. A full deliverable includes: *** Python code - Load images (any size) to train the model (320 W x 32 H x 3 full color). Image only contain single line of text. - Build model (reference model could be from , or this and this ) - Output 50 time-steps/characters, English upper case, lowercase, numbers, and some special characters. - Allow more character if required (it's OK to train from scratch) - Support Unicode characters such as ấ ẵ (I can provide these pictures or code to generate it) - Customizable to use with any training data (di...

...for tensorflow solution for SSD which can do face detection and then find the landmarks (in python). This functionality is similar to dlib. But I would like to break the dependency on opencv and dlib for any face detection or landmarking inference. I am okay to use opencv for training. But for inference I cannot use opencv/dlib functions. Functional requirement 1) Face detection Need tensorflow solution because I will use tensorflow inference to detect face. 2) face landmark detection Need tensorflow solution because I will use tensorflow inference to detect landmarks. Accuracy requirement. 1) Face detection comparable with dlib mmod accuracy 2) Face landmark detection comparable with dlib accuracy You can take the same database that is used to train d...

Hello I need java code for Ontology reasoning/inference to extract implicit/hidden relations between concepts in the ontology. this extraction will be from one ontology, one module of ontology, several modules of ontology, and several ontologies. I need Java programming reasoning such as (Pallet, Hermit, Fcat++,....). thanks

I have a code which sorts (inference) images in batch using tensorflow in GPU. I need minor modifications into it. Please bid only if you have a GPU (even if it small one)

...of sexual size dimorphism which could be calculated as the absolute value (`abs()`) of the difference between males and females, and (2) A variable that indicates whether males or females are bigger. Once you have these you can start modeling the relationship between sexual size dimporhism and average body mass depending on whether males or females are bigger.] Q7. Use a multiple model inference approach to decide which of the following life-history traits tend to influence clutch size after controlling for adult body mass in songbirds (Order Passeriformes): (1) longevity, (2) hatching weight, (3) fledging age, (4) number of clutches per year, and (5) egg mass. Which of these variables should be included in a model of clutch size, and in that model what is the direction of ...

I am following this online tutorial: @amalpaul0492/step-by-step-tensorflows-sample-flower-classification-tutorial-626e39a7ea0a I have reached the point of training the .pb file and can upload it to my android but when I run the app it crashes and gives this error code in logcat: 3704-3722/ E/AndroidRuntime: FATAL EXCEPTION: inference Process: , PID: 3704 : No OpKernel was registered to support Op 'VarHandleOp' with these attrs. Registered devices: [CPU], Registered kernels: <no registered kernels> I want this to be done by logging on to my PC via teamviewer.

We are in need of a linguist or English Language expert to consult on classifying inference to rank order from poor to excellent. We have 100 scripts that we need to rank order.

...appropriately uses univariate, bivariate, and multivariate plots to explore most of the expected relationships in the data set. - The analysis easy to follow - The analysis contains at least 20 visualizations. The visualizations are varied and show multiple comparisons and trends. Relevant statistics (e.g. mean, median, confidence intervals, correlations) are computed throughout the analysis when an inference is made about the data. - Visualizations made in the analysis depict the data in an appropriate manner that allows plots to be readily interpreted. Choice of plot type, variables, and aesthetic parameters (e.g. bin width, color, axis breaks) is appropriate. - Final Plots and Summary section containing three plots and commentary. All plots in this section reflect what has bee...

have a Jupyter notebook that trains a Char-RNN model on a single text file and delivers inferences. I'd like to move this to AWS Sagemaker. This projects needs the following deliverables: - AWS Sagemaker setup - Conversion of Python code from Jupyter notebook to be compatible with Sagemaker - Barebones webpage that sends input to Sagemaker, performs inference, and delivers output to the webpage (no styling is needed... just input and text) As time is an extremely important aspect of this project, a decision will be made today -- please only bid if you're available to begin working immediately.

Prepare a Shiny page based on pre-prepared code for • Descriptive Analysis • Inference Analysis The requested features for the Shiny frontend are: • Customizable Data Preparation • Variable Type Automatic Detection • Asks the user when in doubt of any relation between variables (Interactive), for example, before analysis. Thank you!

Dear Tensorflow experts, I need to inference hundreds of images in as least time as possible. I multi threaded the inferencing into all available cpu cores. But even that is not fast enough for me. One by one inferencing in GPU is also taking lot of time since the data movement between disk and GPU will take time. Can you provide me inferencing solution which can inference hunderds of image inside GPU in one go? Thanks

...our 5 axis router. We are looking for someone who preferably has experience in processing large timber panels or Sip panels. Artificial Intelligence: It involves Studying Human thought processes representing thought process on machines. Knowledge encompasses the implicit and explicit restriction placed upon objects, operations and relationships along with general and specific heuristics and inference procedure involved in the situation being modeled of data, information and knowledge and by utilizing being an expert system. To Increase the productivity, we have planned to create the Environment with Risk free and maximum utilization of resources for maximize profit, by Process innovation by achieving the Artificial Intelligence which is upgraded in most of the resources itse...

must be well trained in statistics - particularly bayesian and probability

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Inference Engine with Knowledge based editor required with source code in java. proposal file will be shared through PMB.

I am trying to build an inference application using TensorFlow in C++ to be used in an optimization program. I have already built and trained the CNN model using python, and have been able to load it into C++ as a pb file, but I haven’t been able to figure out how to run an inference with my Input type, which is a multidimensional floating number vectors. That’s where you come in! What needs to be done can be described in the following steps -Pass the loaded model and tensorflow session into an inference function -convert input vectors into tensors -perform an inference on the loaded model with the input tensors -convert the output tensors into a vector Attached is the code for the project and one of the models you will have to run it wi...

Inference in predicate logic Optimization Data mining

I need you to write Research paper. I am a research scholar in the field of of my research work should be written for publication. Only the result with high level inference will be shared , the research article targeted for SCOPUS indexed journal. Domain knowledge in synthesis of nanomaterials will be required to complete this project. Basis on progress, the project will be upgraded for thesis writing.

I have a data analysis task. Giving inference of the dta

...the most important rule. (For example, "You must not sleep during the daytime" is wrong sentence. The correct sentence would be "You must not sleep during the daytime because research by Dr. John at Oxford University shows that .........."). - No baseless arguments on the article without data to support that argument. If there is an idea proposed on the article that is not backed up by proper inference, that entry will be rejected. - All citations must be hyperlinked. - zero personal opinions in the article. Any baseless inferences in article without link to a published research on will be rejected. - No ranting. Must not repeat same idea again. - Must have a clear opening and a clear closing and must be interesting to read. Anecdotes, folklore, or sto...

I would like to see if there is a classifier model out there which will beat my current best classifier. I am currently using BRT for classification. I will provide training and validation CSV files. Criteria for comparison would be PD/PFA on validation data set.

I need help with a small project - Mainly to design and implement a fuzzy controller (Zero-order Sugeno Fuzzy Inference System) for balancing an inverted pendulum system.

Hi, I need help with designing and implementation of a fuzzy controller (Zero-order Sugeno Fuzzy Inference System) for balancing an inverted pendulum system.

create inputs with membership functions for each as well for the output

Want to upgrade/modify my existing application which is eclipse apache jena based. Semantic search, triples extraction, search engine, jena inference, java code, N-quad in jena, all these keywords related to my topic if u have skill and make sense contact me i will provide more detail

Must be built in Java. Implementation of Truth Table, Forward Chaining and Backward Chaining.

...on ECS, I should be able to put the entire training process able to put into a Dockerfile. We understand if you don't have the AWS skills(we can hire someone else for that), but it must be compatible with AWS Lambda so that we will be able to put it on there. It's our hope we should be able to use AWS ECS to train the model and put the model in a S3 bucket, and then use AWS Lambda for inference/predictions checks. Technology stack used must be compatible with AWS Lambda. If you are bidding, please declare your stack choice. Also indicate if you have the AWS skills necessary to do this (not needed). Finally please indicate if you have any experience with building Natural Language Understanding APIs. Please also indicate which machine learning algorithm do you...

Detect some specific objects over video. The goal is to traian my own dataset based on real pictures. You must use Tensorflow and Opencv as base source code and test the next models: 1. SSD 2. Faster RCNN 3. Yolo v2 The results has to be demostrated by comparing mAP and FPS for the validation data set.

Keywords: graphical models, inference, updating beliefs, CRF, belief propagation, probabilistic model, Matlab, message passing. Hi everyone Im working on a project related to image processing using MATLAB. Im looking for someone who can help me to implement graphical models. It is about updating belief between nodes, using Conditional Random Field and belief propagation. If you are familiar with such a project, please contact me as soon as possible. Thank you

Hi I need to construct a practical demonstration of a neural network in the field of inference control (''soft sensors'') using the Levenberg-Marquardt training algorithm. The network can be developed in any language of your choice, however, the neural network toolbox in Matlab as well as the solver function in Excel must not be used

...Works Cited, and, optional, an Appendix. Deadline is 11:AM, April 8,2018. The paper should be a unique work in the world. No plagiarism. I expect that the topic will be related to wage. Chapter 2: The Simple Linear Regression Model Chapter 3: Interval Estimation and Hypothesis Testing Chapter 4: Forecast, Goodness of Fit, and Model Specifications Chapter 5: Multiple Regression Chapter 6: Further Inference in Multiple Regression Chapter 7: Indicator Variables Chapter 8: Heteroskedasticity Chapter 9: Time Series 1 (Stationary Time Series) Chapter 10: Instrumental Variables Chapter 12: Nonstationary Time Series Chapter 16: Qualitative dependent variables...

choose one of the four topics in the doc To analyze data and make inference, use either Matlab or R. The code must be included in the final project and sent, together with the project and the data used.

We are looking for some one who is expert in Django Admin customization for an existing project. If you are good at Django, well and good, but you must have hands-on experience in customizing Django Admin and creating dashboards with multiple Graphs, charts and reports. We are looking for experts with following experience and know...Inline tables and custom fields to Django-Admin 8. Derived values in columns for Django-Admin 9. Custom queryset for Admin 10. Custom filters for Admin-Report 11. Experience in creating Getters, Setters and decorators in Python 12. Hands-on experience with Amazon S3 13. Django - Compress Knowledge in the following is an added advantage 1. Knowledge in data analytics and statistical inference 2. numpy and Python Pandas 3. Algorithm d...

...Minimum 4 years of experience implementing programming using R (must), preferably statistical models 3. Statistical Analysis Experience Difference and Difference regression (must) Time Series Regression Analysis (must) Regression Discontinuity Designs Regression (preferred) Cox proportional hazard model used for survival analysis (preferred) 4. (Preferred) Have experience in Causal inference and using identification strategies 5. (Preferred) Have practical experience in implementing tests for detecting the presence of and methods for treating the endogeneity issues of reverse causality, simultaneity, omitted variable, and endogeneity in general 6. Preferred to have experience in applying statistical methodologies procedures to ensure robustness (such as to ...