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 am looking for experienced candidate who have proven experience in working with Machine Learning modules in Nvidia Jetson Nano and different processors. I will explain the issue once you contact

    $8 - $20
    $8 - $20
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    Have to load and train a dataset in pytorch

    $20 (Avg Bid)
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    Dear Freelancer, Please bid, if you are an expert in Tensorflow, Pytorch, keras and NLP, This project is about author style transfter using GANs such as WGAN, cycleGan etc.

    $134 (Avg Bid)
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    7 bids

    Looking for someone who can work on speech emotion recognition using deep learning and can think as an academic researcher

    $896 (Avg Bid)
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    29 bids

    We're developing a device and also tested working on Normal CPU. I want my Pytorch models to run Jetson nano. It uses USB Mics and camera's. All the code are ready, just need to deploy with libraries. Needed developer's who've already worked on deploying Pytorch models and opencv and pyaudio.

    $157 (Avg Bid)
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    Rewrite DeepSAT6 class and read data from a Mathlab file. The file includes both .csv file and .mat file. While the original DeepSAT6 dataloader uses .csv files, your implementation needs to use .mat file. The four arrays in the .mat file, i.e., 'train_x', 'test_x', 'train_y', 'test_y', are similar to those read from the corresponding .csv files. Deadline: 10th December 2021

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    Rewrite DeepSAT6 class and read data from a Mathlab file. The file includes both .csv file and .mat file. While the original DeepSAT6 dataloader uses .csv files, your implementation needs to use .mat file. The four arrays in the .mat file, i.e., 'train_x', 'test_x', 'train_y', 'test_y', are similar to those read from the corresponding .csv files. Deadline: 10th December 2021

    $22 (Avg Bid)
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    Do you have experiences for exporting pytorch detectron2 model to onnx or torchscript? If then, this is for you. You can simple get pre-trained model for mask detection. I need to export it to onnx model. feel free to ask questions.

    $115 (Avg Bid)
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    11 bids

    Introduction: 1. DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained) 2. Lil Log What are Diffusion Models? Papers: [1]Denoising Diffusion Probabilistic Models [2] DENOISING DIFFUSION IMPLICIT MODELS [3]On Fast Sampling of Diffusion Probabilistic Models Problem 1: what is the problem the two papers aim to solve, and why is this problem important or interesting? (5 points) Problem 2: 1) summarize the three methods, including high-level ideas as well as technical details: the relevant details that are important to focus on (e.g., if there’s a model, define it; if there is a theorem, state it and explain why it’s important, etc) 2) what are the major differences of the three methods? (15 points) Problem 3: implement DDPM [1] and test...

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