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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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pip install examplesREADME
PyTorch Examples
pytorch/examples is a repository showcasing examples of using PyTorch. The goal is to have curated, short, few/no dependencies high quality examples that are substantially different from each other that can be emulated in your existing work.
- For tutorials: https://github.com/pytorch/tutorials
- For changes to pytorch.org: https://github.com/pytorch/pytorch.github.io
- For a general model hub: https://pytorch.org/hub/ or https://huggingface.co/models
- For recipes on how to run PyTorch in production: https://github.com/facebookresearch/recipes
- For general Q&A and support: https://discuss.pytorch.org/
Available models
- Image classification (MNIST) using Convnets
- Word-level Language Modeling using RNN and Transformer
- Training Imagenet Classifiers with Popular Networks
- Generative Adversarial Networks (DCGAN)
- Variational Auto-Encoders
- Superresolution using an efficient sub-pixel convolutional neural network
- Hogwild training of shared ConvNets across multiple processes on MNIST
- Training a CartPole to balance with actor-critic
- Natural Language Inference (SNLI) with GloVe vectors, LSTMs, and torchtext
- Time sequence prediction - use an LSTM to learn Sine waves
- Implement the Neural Style Transfer algorithm on images
- Reinforcement Learning with Actor Critic and REINFORCE algorithms on OpenAI gym
- PyTorch Module Transformations using fx
- Distributed PyTorch examples with Distributed Data Parallel and RPC
- Several examples illustrating the C++ Frontend
- Image Classification Using Forward-Forward
- Language Translation using Transformers
Additionally, a list of good examples hosted in their own repositories:
Contributing
If you'd like to contribute your own example or fix a bug please make sure to take a look at CONTRIBUTING.md.
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