lightning/docs/source-pytorch/ecosystem/community_examples.rst

:orphan:

Community Examples
==================


- `Lightning Bolts: Deep Learning components for extending PyTorch Lightning <https://pytorch-lightning.readthedocs.io/en/latest/ecosystem/bolts.html>`_.
- `Lightning Flash: Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes <https://github.com/Lightning-AI/lightning-flash>`_.
- `Contextual Emotion Detection (DoubleDistilBert) <https://github.com/juliusberner/emotion_transformer>`_
- `Cotatron: Transcription-Guided Speech Encoder <https://github.com/mindslab-ai/cotatron>`_
- `FasterRCNN object detection + Hydra <https://github.com/Erlemar/wheat>`_
- `Image Inpainting using Partial Convolutions <https://github.com/ryanwongsa/Image-Inpainting>`_
- `MNIST on TPU <https://colab.research.google.com/drive/1-_LKx4HwAxl5M6xPJmqAAu444LTDQoa3#scrollTo=BHBz1_AnamN_>`_
- `NER (transformers, TPU) <https://colab.research.google.com/drive/1dBN-wwYUngLYVt985wGs_OKPlK_ANB9D>`_
- `NeuralTexture (CVPR) <https://github.com/henzler/neuraltexture>`_
- `Recurrent Attentive Neural Process <https://github.com/3springs/attentive-neural-processes>`_
- `Siamese Nets for One-shot Image Recognition <https://github.com/bhiziroglu/Siamese-Neural-Networks>`_
- `Speech Transformers <https://github.com/tongjinle123/speech-transformer-pytorch_lightning>`_
- `Transformers transfer learning (Huggingface) <https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=yr7eaxkF-djf>`_
- `Transformers text classification <https://github.com/ricardorei/lightning-text-classification>`_
- `VAE Library of over 18+ VAE flavors <https://github.com/AntixK/PyTorch-VAE>`_
- `Transformers Question Answering (SQuAD) <https://github.com/tshrjn/Finetune-QA/>`_
- `Atlas: End-to-End 3D Scene Reconstruction from Posed Images <https://github.com/magicleap/atlas>`_
- `Self-Supervised Representation Learning (MoCo and BYOL) <https://github.com/untitled-ai/self_supervised>`_
- `PyTorch-Forecasting: Time series forecasting package <https://github.com/jdb78/pytorch-forecasting>`_
- `Transformers masked language modeling <https://github.com/yang-zhang/lightning-language-modeling>`_
- `PyTorch Geometric examples with PyTorch Lightning and Hydra <https://github.com/tchaton/lightning-geometric>`_
- `PyTorch Tabular: Deep learning with tabular data <https://github.com/manujosephv/pytorch_tabular>`_
- `Asteroid: An audio source separation toolkit for researchers <https://github.com/asteroid-team/asteroid>`_


PyTorch Ecosystem Examples
==========================

- `PyTorch Geometric: Deep learning on graphs and other irregular structures <https://github.com/rusty1s/pytorch_geometric/tree/master/examples/pytorch_lightning>`_.
- `TorchIO, MONAI and Lightning for 3D medical image segmentation <https://colab.research.google.com/github/fepegar/torchio-notebooks/blob/main/notebooks/TorchIO_MONAI_PyTorch_Lightning.ipynb>`_.