Python is a high-level general purpose programming language, and its open source machine learning library is called Pytorch. It is currently being utilized by two of the tech sector’s most valuable companies, Facebook and Uber, who utilize it for different reasons. It is considered one of the most important tools in artificial intelligence today. It provides two main features, which include tensor computation, in addition to deep neural networks. The language is also known for utilizing a technique called automatic differentiation, which allows for rapid machine learning.

One of the most important aspects for automation and the internet of things is the idea of natural language processing, which allows human beings to interact with devices through voice. Human beings understand that the more that computers understand human languages, the more that automation can occur, not to mention real-world applications, such as language translation and transcription.

Pytorch is one of the most important libraries related to machine learning and deep learning, that is already being used by multiple Fortune 500 companies. Its relevancy will only increase the more that we move towards using artificial intelligence in everyday technology, and Pytorch can be a tool that can optimize countless companies exponentially.

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    I have a pytorch model (both .pth and .pt). I need someone to conver it to a tensorlfow model, which will be loaded on C++. You will need to write a c++ test script to show that the pytorch model and tf model can give same output. The deliverable would be The C++ test code which wil run the pytorch model and tensorflow model. A tensorflow model that can be run successfully on the test code. The ...

    £160 (Avg Bid)
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    [login to view URL] We are looking for someone, who will help implement an solution to use the given model, to detect Tables from google spreadsheets. As input You will have XLS files or json file which we will create in runtime in google an spreadsheet plugin. We should than send the request to the model or try to make the prediction inside plugin. Please note there is an Script in point 8. ...

    £487 (Avg Bid)
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    I have a set of uni-variate sequential/series data with 2 engineered features. I need an RL prediction for next 10 steps. The requirement is as follows:- All code in one .py file including any helper functions created. Code to be documented with inline comments. Code should run on latest version of pytorch. Any external libraries utilized should be available via regular 'pip install ...'...

    £157 (Avg Bid)
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    a. COCO-Text (link) b. Kaggle Text detection (link) C. Common Coco (link) Take any of the following dataset 2. Choose a Neural Net for the problem Even I can send the model file just need to comment out the codes Will share details.

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    7 bids

    I need to convert an existing Pythorch model to TF2

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    5 bids

    need help exporting a tensorflow/pytorch model to a [login to view URL] or [login to view URL] file

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    4 bids

    I need you to implement code which is in a blog. The implementation details are also available in the blog.I need you to help me implement this code in my local system so that I can submit this for my project

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