jadore801120 / attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
☆9,167Updated last year
Alternatives and similar repositories for attention-is-all-you-need-pytorch:
Users that are interested in attention-is-all-you-need-pytorch are comparing it to the libraries listed below
- Google AI 2018 BERT pytorch implementation☆6,382Updated last year
- An annotated implementation of the Transformer paper.☆6,199Updated last year
- A TensorFlow Implementation of the Transformer: Attention Is All You Need☆4,364Updated last year
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,933Updated this week
- ☆11,308Updated 2 months ago
- BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)☆7,373Updated last year
- Open Source Neural Machine Translation and (Large) Language Models in PyTorch☆6,868Updated 2 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,882Updated last week
- Transformer: PyTorch Implementation of "Attention Is All You Need"☆3,667Updated 9 months ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,008Updated this week
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,970Updated this week
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,645Updated 3 weeks ago
- PyTorch implementations of Generative Adversarial Networks.☆16,966Updated 10 months ago
- ☆3,645Updated 2 years ago
- A curated list of awesome self-supervised methods☆6,268Updated 10 months ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,039Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,261Updated last year
- Natural Language Processing Tutorial for Deep Learning Researchers☆14,574Updated last year
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆34,001Updated this week
- Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.☆16,098Updated last year
- Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.☆5,536Updated last year
- Models, data loaders and abstractions for language processing, powered by PyTorch☆3,539Updated this week
- Model interpretability and understanding for PyTorch☆5,195Updated this week
- This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".☆14,712Updated 9 months ago
- Count the MACs / FLOPs of your PyTorch model.☆4,983Updated 9 months ago
- Simple examples to introduce PyTorch☆4,776Updated 3 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,651Updated last week
- An open source framework for seq2seq models in PyTorch.☆1,507Updated 2 years ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆15,816Updated last year
- Datasets, Transforms and Models specific to Computer Vision☆16,794Updated this week