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2.8 KiB
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37 lines
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Community Examples
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==================
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- `Lightning Bolts: Deep Learning components for extending PyTorch Lightning <https://pytorch-lightning.readthedocs.io/en/latest/ecosystem/bolts.html>`_.
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- `Lightning Flash: Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes <https://github.com/Lightning-AI/lightning-flash>`_.
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- `Contextual Emotion Detection (DoubleDistilBert) <https://github.com/juliusberner/emotion_transformer>`_
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- `Cotatron: Transcription-Guided Speech Encoder <https://github.com/mindslab-ai/cotatron>`_
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- `FasterRCNN object detection + Hydra <https://github.com/Erlemar/wheat>`_
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- `Image Inpainting using Partial Convolutions <https://github.com/ryanwongsa/Image-Inpainting>`_
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- `MNIST on TPU <https://colab.research.google.com/drive/1-_LKx4HwAxl5M6xPJmqAAu444LTDQoa3#scrollTo=BHBz1_AnamN_>`_
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- `NER (transformers, TPU) <https://colab.research.google.com/drive/1dBN-wwYUngLYVt985wGs_OKPlK_ANB9D>`_
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- `NeuralTexture (CVPR) <https://github.com/henzler/neuraltexture>`_
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- `Recurrent Attentive Neural Process <https://github.com/3springs/attentive-neural-processes>`_
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- `Siamese Nets for One-shot Image Recognition <https://github.com/bhiziroglu/Siamese-Neural-Networks>`_
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- `Speech Transformers <https://github.com/tongjinle123/speech-transformer-pytorch_lightning>`_
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- `Transformers transfer learning (Huggingface) <https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=yr7eaxkF-djf>`_
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- `Transformers text classification <https://github.com/ricardorei/lightning-text-classification>`_
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- `VAE Library of over 18+ VAE flavors <https://github.com/AntixK/PyTorch-VAE>`_
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- `Transformers Question Answering (SQuAD) <https://github.com/tshrjn/Finetune-QA/>`_
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- `Atlas: End-to-End 3D Scene Reconstruction from Posed Images <https://github.com/magicleap/atlas>`_
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- `Self-Supervised Representation Learning (MoCo and BYOL) <https://github.com/untitled-ai/self_supervised>`_
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- `PyTorch-Forecasting: Time series forecasting package <https://github.com/jdb78/pytorch-forecasting>`_
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- `Transformers masked language modeling <https://github.com/yang-zhang/lightning-language-modeling>`_
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- `PyTorch Geometric examples with PyTorch Lightning and Hydra <https://github.com/tchaton/lightning-geometric>`_
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- `PyTorch Tabular: Deep learning with tabular data <https://github.com/manujosephv/pytorch_tabular>`_
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- `Asteroid: An audio source separation toolkit for researchers <https://github.com/asteroid-team/asteroid>`_
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PyTorch Ecosystem Examples
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==========================
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- `PyTorch Geometric: Deep learning on graphs and other irregular structures <https://github.com/rusty1s/pytorch_geometric/tree/master/examples/pytorch_lightning>`_.
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- `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>`_.
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