Pytorch is a powerful and versatile open-source deep learning library that emphasizes maximum flexibility and dynamic graphs. It allows developers to build complex neural network architectures, and implement state-of-the-art algorithms such as natural language processing (NLP) and computer vision. In addition, it can be used to train and deploy deep learning models such as recognition systems, recommendations, speech processing, time series forecasting and more. A Pytorch Expert can design custom models, optimize performance and deploy production-level applications.

Here’s some projects that our Pytorch Experts made real:

  • Video emotion detection
  • Convolutional LSTM Autoencoders
  • Neural Network mathematical function autograd
  • Computer Vision projects with YOLO, OpenCV and PyTorch
  • 3D reconstruction
  • Deep Fake video face swap web apps
  • Compressing Neural Networks with Pruning and Quantization
  • C++ inference for YOLOv7 with OpenCV
  • Basic neural network Python code check

The Pytorch ecosystem of libraries provides the resources to prototype, optimize, debug and deploy applications quickly. Through our team of experienced Pytorch specialists, Freelancer is equipped to help you build production ready software across a wide range of problem domains. With a combination of world class expertise and user friendly support, you can be up and running with your custom application in no time. So why wait? Post your project now and hire the perfect Pytorch Expert on

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    I need a help session of 1-2 hours explaining the main hyper-parameters in building a neural network model, specifically: How do I determine how many layers I need? Is it of the folly connected type or the convolutional type? Which number of neurons should be used in each layer? Which activation functions should be used (ReLU, Sigmoid, Tanh)? There is a ready-made practical example (python and pytorch) on which we can experiment with different options and monitor the differences in accuracy and F1 scores.

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    I'm looking for a skilled developer who can help me deploy my PyTorch model into a standalone web application for real-time predictions. Key Project Details: - Purpose: The primary goal of this project is to make real-time predictions with my PyTorch model. The model is already trained and ready for deployment. The weights are in .pt format and it is a pose estimation model. I want to capture the realtime webcam input process the frames and plot out the output(Keypoints). I also want to display the FPS and latency of each frame. - Platform: I intend to use a standalone web application for this deployment. You should have experience in deploying machine learning models in web environments. - Model Maintenance: I do not foresee any updates or maintenance for the model. It will stay as...

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    I need an expert to help me with the model fine-tune in MMPOSE. The primary goal here is to improve the accuracy of the model and also change the last layer of the model to change how the model behaves. I have a dataset for fine-tune. The model is currently handling video data. Ideal Skills and Experience: - Strong background in MMPOSE models - Proven experience in model evaluation - Ability to work with video data - Experience in improving model accuracy Your main task will be to thoroughly provide me with a complete configuration and explanation and the modified model. you do not need to train the model just make sure that the model is trained. This is an advanced project. Partial or incomplete delivery is not acceptable. expertise in fine-tuning and optimizing MMPOSE models is a mus...

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    We are looking for a Computer Vision Developer who can help with Image Classification and Object Detection tasks in an indoor environment. The primary focus will be on achieving a high level of accuracy, targeting 99% or more. Key Responsibilities: - Develop and implement image classification algorithms - Create and deploy object detection models - Ensure high level of accuracy in the indoor environment Ideal Skills and Experience: - Proficient in Computer Vision techniques - Strong experience in Image Classification and Object Detection - Proven ability to deliver high accuracy models, ideally in indoor settings - Expertise in using popular frameworks like TensorFlow, OpenCV, or PyTorch - Good understanding of optimization techniques for accuracy - Ability to work independently and...

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    so solve the tsp problem using gnn and get the shortest path using the large dataset and the output should be shown as a figure like the nodes should be the cities and edges should be the distance between the cities and find shortest path from the start city to the last city and datasets be in number format like coordinates form. code this in python and on google collab only More details: What are the main objectives of your project? Optimizing travel routes What form of data input for the TSP will the solution be working with? Coordinate-based data How soon do you need your project completed? ASAP

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    Quiero desarrollar un sistema con IA que permita comparar una imagen tipo A con varias imágenes tipo B, de tal modo que la IA escoja del total de imágenes tipo B aquella que representan un 80% al menos de similitud con la imagen tipo A.

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    I'm looking for a skilled Python developer who has experience with PyTorch to help me integrate my audio dataset into an USS system on Github repo "". Key Requirements: - Proficient in Python - Strong understanding of PyTorch - Prior experience working with ML - Capable of handling and working with audio datasets Your primary task will be to take my audio dataset and feed it into the provided USS repo, with the main goal of sound classification and seperation (the idee for USS = Universal Source Separation (USS) with Weakly labelled Data). The ideal candidate should be knowledgeable in the field of ML, particularly in sound-related applications. If you have the necessary skills and experience, and are interested in working on this ...

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