lucidrains / reformer-pytorchLinks
Reformer, the efficient Transformer, in Pytorch
☆2,174Updated 2 years ago
Alternatives and similar repositories for reformer-pytorch
Users that are interested in reformer-pytorch are comparing it to the libraries listed below
Sorting:
- Pytorch library for fast transformer implementations☆1,723Updated 2 years ago
- An implementation of Performer, a linear attention-based transformer, in Pytorch☆1,136Updated 3 years ago
- Longformer: The Long-Document Transformer☆2,145Updated 2 years ago
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆784Updated last year
- Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"☆1,579Updated 4 years ago
- My take on a practical implementation of Linformer for Pytorch.☆416Updated 2 years ago
- ☆3,660Updated 2 years ago
- Long Range Arena for Benchmarking Efficient Transformers☆759Updated last year
- [ICLR 2020] Lite Transformer with Long-Short Range Attention☆611Updated last year
- Transformers for Longer Sequences☆617Updated 2 years ago
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch☆1,156Updated last year
- DeLighT: Very Deep and Light-Weight Transformers☆469Updated 4 years ago
- An All-MLP solution for Vision, from Google AI☆1,029Updated this week
- Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"☆1,063Updated 11 months ago
- Single Headed Attention RNN - "Stop thinking with your head"☆1,182Updated 3 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,103Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,124Updated last year
- Transformer seq2seq model, program that can build a language translator from parallel corpus☆1,401Updated 2 years ago
- list of efficient attention modules☆1,012Updated 3 years ago
- Transformer training code for sequential tasks☆612Updated 3 years ago
- PyTorch implementation of some attentions for Deep Learning Researchers.☆534Updated 3 years ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,202Updated last year
- Hopfield Networks is All You Need☆1,814Updated 2 years ago
- A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"☆557Updated 4 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆377Updated 4 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,551Updated 3 years ago
- Fully featured implementation of Routing Transformer☆295Updated 3 years ago
- PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538☆1,134Updated last year
- Transformer implementation in PyTorch.☆492Updated 6 years ago
- FastFormers - highly efficient transformer models for NLU☆705Updated 3 months ago