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lucidrains/vit-pytorch: Implementation of Vision Transformer, a ...
https://github.com › lucidrains › vi...
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch - GitHub ...
GitHub - huggingface/transformers: 🤗 Transformers: State-of ...
github.com › huggingface › transformers
@inproceedings {wolf-etal-2020-transformers, title = " Transformers: State-of-the-Art Natural Language Processing ", author = " Thomas Wolf and Lysandre Debut and Victor Sanh and Julien Chaumond and Clement Delangue and Anthony Moi and Pierric Cistac and Tim Rault and Rémi Louf and Morgan Funtowicz and Joe Davison and Sam Shleifer and Patrick ...
NielsRogge/Transformers-Tutorials - GitHub
https://github.com › NielsRogge
This repository contains demos I made with the Transformers library by HuggingFace. - GitHub - NielsRogge/Transformers-Tutorials: This repository contains ...
Attention is all you need: A Pytorch Implementation - GitHub
https://github.com › jadore801120
A PyTorch implementation of the Transformer model in "Attention is All You Need". - GitHub - jadore801120/attention-is-all-you-need-pytorch: A PyTorch ...
GitHub - zalando-incubator/transformer: A tool to transform ...
github.com › zalando-incubator › Transformer
Sep 09, 2021 · GitHub - zalando-incubator/transformer: A tool to transform/convert web browser sessions (HAR files) into Locust load testing scenarios (locustfile). zalando-incubator / transformer Public master 3 branches 19 tags Go to file Code thilp Merge pull request #76 from kartoch/patch-1 5fa85c1 on Sep 9, 2021 265 commits .github
GitHub - SiddhantKapil/LA-Transformer
github.com › SiddhantKapil › LA-Transformer
Jul 05, 2021 · LA-Transformer Training.html and LA-Transformer Testing.html are the read-only versions containing outputs to quickly verfiy the working of LA-Transformer. Google Drive: Pretrained weights and dataset can be found on this google drive. To remain anonymous we created a temporary gmail account to host weights and datasets.
Huggingface Transformers - GitHub
https://github.com › huggingface
Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - GitHub - huggingface/transformers: Transformers: State-of-the-art ...
NVIDIA/transformer-ls: Official implementation of Long-Short ...
https://github.com › NVIDIA › tra...
Official implementation of Long-Short Transformer in PyTorch. - GitHub - NVIDIA/transformer-ls: Official implementation of Long-Short Transformer in ...
GitHub - lucidrains/En-transformer: Implementation of E(n ...
https://github.com/lucidrains/En-transformer
27.02.2021 · Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention - GitHub - lucidrains/En-transformer: Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention
Kyubyong/transformer: A TensorFlow Implementation of the ...
https://github.com › Kyubyong › t...
Though there is the official implementation as well as several other unofficial github repos, I decided to update my own one. This update focuses on: readable / ...
GitHub - huggingface/transformers: 🤗 Transformers: State ...
https://github.com/huggingface/transformers
English | 简体中文 | 繁體中文 | 한국어. State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow. 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.. These models can be applied on: 📝 Text, for tasks like text classification, information extraction, question answering, summarization ...
This is an official implementation for "Swin Transformer - GitHub
https://github.com › microsoft › S...
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows". - GitHub - microsoft/Swin-Transformer: ...
GitHub - lucidrains/transformer-in-transformer
https://github.com › lucidrains › tr...
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch - GitHub ...
google-research/vision_transformer - GitHub
https://github.com › google-research
Vision Transformer and MLP-Mixer Architectures. Update (2.7.2021): Added the "When Vision Transformers Outperform ResNets.
The Illustrated Transformer - GitHub Pages
https://jalammar.github.io/illustrated-transformer
27.06.2018 · The Transformer outperforms the Google Neural Machine Translation model in specific tasks. The biggest benefit, however, comes from how The Transformer lends itself to parallelization. It is in fact Google Cloud’s recommendation to use The Transformer as a reference model to use their Cloud TPU offering.
GitHub - lucidrains/x-transformers: A simple but complete ...
github.com › lucidrains › x-transformers
Oct 25, 2020 · GitHub - lucidrains/x-transformers: A simple but complete full-attention transformer with a set of promising experimental features from various papers lucidrains / x-transformers Public main 15 branches 128 tags Go to file Code lucidrains make sure feedforward is still pre-norm when qk norm is turned on 6223509 7 days ago 226 commits
ThilinaRajapakse/simpletransformers: Transformers ... - GitHub
https://github.com › simpletransfor...
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI - GitHub ...
GitHub - lucidrains/En-transformer: Implementation of E(n ...
github.com › lucidrains › En-transformer
Feb 27, 2021 · GitHub - lucidrains/En-transformer: Implementation of E (n)-Transformer, which extends the ideas of Welling's E (n)-Equivariant Graph Neural Network to attention lucidrains / En-transformer Public main 2 branches 60 tags Go to file Code lucidrains 0.5.1 e2f8c54 27 days ago 83 commits .github/ workflows fix tests 10 months ago en_transformer