Reformer, the efficient Transformer, in Pytorch
☆2,192Jun 21, 2023Updated 3 years ago
Alternatives and similar repositories for reformer-pytorch
Users that are interested in reformer-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An implementation of Performer, a linear attention-based transformer, in Pytorch☆1,182Feb 2, 2022Updated 4 years ago
- Pytorch library for fast transformer implementations☆1,780Mar 23, 2023Updated 3 years ago
- Longformer: The Long-Document Transformer☆2,207Feb 8, 2023Updated 3 years ago
- Fully featured implementation of Routing Transformer☆300Nov 6, 2021Updated 4 years ago
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆844May 5, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆272Aug 10, 2021Updated 5 years ago
- My take on a practical implementation of Linformer for Pytorch.☆425Jul 27, 2022Updated 4 years ago
- [ICLR 2020] Lite Transformer with Long-Short Range Attention☆609Jul 11, 2024Updated 2 years ago
- A concise but complete full-attention transformer with a set of promising experimental features from various papers☆5,949Updated this week
- ☆3,715Sep 21, 2022Updated 3 years ago
- Transformer training code for sequential tasks☆610Sep 14, 2021Updated 5 years ago
- ☆220Jun 8, 2020Updated 6 years ago
- Implements Reformer: The Efficient Transformer in pytorch.☆86Mar 1, 2020Updated 6 years ago
- Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch☆5,625Feb 17, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"☆1,613Aug 12, 2020Updated 6 years ago
- Trax — Deep Learning with Clear Code and Speed☆8,306Sep 26, 2025Updated 11 months ago
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆32,221Sep 30, 2025Updated 11 months ago
- Implementation of Linformer for Pytorch☆307Jan 5, 2024Updated 2 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,529Nov 18, 2020Updated 5 years ago
- Efficient Transformers for research, PyTorch and Tensorflow using Locality Sensitive Hashing☆97Jan 28, 2020Updated 6 years ago
- Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"☆6,551Sep 10, 2026Updated last week
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,134Apr 20, 2022Updated 4 years ago
- XLNet: Generalized Autoregressive Pretraining for Language Understanding☆6,189May 28, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators☆2,366Mar 23, 2024Updated 2 years ago
- FastFormers - highly efficient transformer models for NLU☆702Mar 21, 2025Updated last year
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,604Aug 26, 2026Updated 3 weeks ago
- An implementation of local windowed attention for language modeling☆506Jul 16, 2025Updated last year
- DeLighT: Very Deep and Light-Weight Transformers☆469Oct 16, 2020Updated 5 years ago
- Fast Block Sparse Matrices for Pytorch☆551Jan 21, 2021Updated 5 years ago
- Understanding the Difficulty of Training Transformers☆332May 31, 2022Updated 4 years ago
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch☆1,217Updated this week
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,999Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PyTorch original implementation of Cross-lingual Language Model Pretraining.☆2,920Feb 14, 2023Updated 3 years ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,349Updated this week
- Single Headed Attention RNN - "Stop thinking with your head"☆1,180Nov 27, 2021Updated 4 years ago
- PyTorch extensions for high performance and large scale training.☆3,406Apr 26, 2025Updated last year
- Framework for creating (partially) reversible neural networks with PyTorch☆155Jul 25, 2022Updated 4 years ago
- Google Research☆38,787Updated this week
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆22,220Updated this week