21 lines
1.7 KiB
ReStructuredText
21 lines
1.7 KiB
ReStructuredText
Community Examples
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==================
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- `Contextual Emotion Detection (DoubleDistilBert) <https://github.com/PyTorchLightning/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/PyTorchLightning/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/PyTorchLightning/neuraltexture>`_.
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- `Recurrent Attentive Neural Process <https://github.com/PyTorchLightning/attentive-neural-processes>`_.
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- `Siamese Nets for One-shot Image Recognition <https://github.com/PyTorchLightning/Siamese-Neural-Networks>`_.
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- `Speech Transformers <https://github.com/PyTorchLightning/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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