Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/pytorch/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
https://github.com/pytorch/examples

Last synced: 2 months ago
JSON representation

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Host: GitHub
URL: https://github.com/pytorch/examples
Owner: pytorch
License: bsd-3-clause
Created: 2016-08-24T03:12:48.000Z (almost 8 years ago)
Default Branch: main
Last Pushed: 2024-04-16T22:44:29.000Z (2 months ago)
Last Synced: 2024-04-17T02:51:56.146Z (2 months ago)
Language: Python
Homepage: https://pytorch.org/examples
Size: 40.2 MB
Stars: 21,684
Watchers: 397
Forks: 9,444
Open Issues: 207
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: CODEOWNERS

Lists

Awesome-pytorch-list - pytorch examples
awesome-learning-resources - PyTorch Examples
awesome-stars - pytorch/examples
awesome-stars - pytorch/examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. (Python)
my-awesome-stars - pytorch/examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. (Python)
Awesome-AI-algorithm - Github
awesome-pytorch - Pytorch Official Examples
Awesome-pytorch-list-CNVersion - pytorch examples
awesome-stars - examples
awesome-stars - pytorch/examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. (Python)
awesome-stars - examples
awesome-stars - examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. (Python)
awesome-stars - examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. (Python)
awesome-pytorch - Pytorch Official Examples
awesome-stars - pytorch/examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. (Python)

README

        # PyTorch Examples

![Run Examples](https://github.com/pytorch/examples/workflows/Run%20Examples/badge.svg)

https://pytorch.org/examples/

`pytorch/examples` is a repository showcasing examples of using [PyTorch](https://github.com/pytorch/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](./mnist/README.md)

- [Word-level Language Modeling using RNN and Transformer](./word_language_model/README.md)

- [Training Imagenet Classifiers with Popular Networks](./imagenet/README.md)

- [Generative Adversarial Networks (DCGAN)](./dcgan/README.md)

- [Variational Auto-Encoders](./vae/README.md)

- [Superresolution using an efficient sub-pixel convolutional neural network](./super_resolution/README.md)

- [Hogwild training of shared ConvNets across multiple processes on MNIST](mnist_hogwild)

- [Training a CartPole to balance in OpenAI Gym with actor-critic](./reinforcement_learning/README.md)

- [Natural Language Inference (SNLI) with GloVe vectors, LSTMs, and torchtext](snli)

- [Time sequence prediction - use an LSTM to learn Sine waves](./time_sequence_prediction/README.md)

- [Implement the Neural Style Transfer algorithm on images](./fast_neural_style/README.md)

- [Reinforcement Learning with Actor Critic and REINFORCE algorithms on OpenAI gym](./reinforcement_learning/README.md)

- [PyTorch Module Transformations using fx](./fx/README.md)

- Distributed PyTorch examples with [Distributed Data Parallel](./distributed/ddp/README.md) and [RPC](./distributed/rpc)

- [Several examples illustrating the C++ Frontend](cpp)

- [Image Classification Using Forward-Forward ](./mnist_forward_forward/README.md)

Additionally, a list of good examples hosted in their own repositories:

- [Neural Machine Translation using sequence-to-sequence RNN with attention (OpenNMT)](https://github.com/OpenNMT/OpenNMT-py)

## Contributing

If you'd like to contribute your own example or fix a bug please make sure to take a look at [CONTRIBUTING.md](CONTRIBUTING.md).