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capeContinuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
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VT-UNet[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
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densecapDense video captioning in PyTorch
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catrImage Captioning Using Transformer
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sb-nmtCode for Synchronous Bidirectional Neural Machine Translation (SB-NMT)
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kaggle-champsCode for the CHAMPS Predicting Molecular Properties Kaggle competition
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YaEtlYet Another ETL in PHP
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transformerBuild English-Vietnamese machine translation with ProtonX Transformer. :D
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libaiLiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
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BertvizTool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
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ru-dalleGenerate images from texts. In Russian
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ResidualAttentionNetworkA Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
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fastT5⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
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PosthtmlPostHTML is a tool to transform HTML/XML with JS plugins
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transformerA simple TensorFlow implementation of the Transformer
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imdb-transformerA simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.
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ViTs-vs-CNNs[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
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TorchnlpEasy to use NLP library built on PyTorch and TorchText
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