facebookresearch / transformer-sequentialLinks
Trains Transformer model variants. Data isn't shuffled between batches.
☆143Updated 2 years ago
Alternatives and similar repositories for transformer-sequential
Users that are interested in transformer-sequential are comparing it to the libraries listed below
Sorting:
- Implementation of Feedback Transformer in Pytorch☆107Updated 4 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Pytorch implementation of Compressive Transformers, from Deepmind☆164Updated 3 years ago
- Official codebase for Pretrained Transformers as Universal Computation Engines.☆247Updated 3 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.☆147Updated 4 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆123Updated 4 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆151Updated 2 years ago
- Fully featured implementation of Routing Transformer☆297Updated 3 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 3 years ago
- A 🤗-style implementation of BERT using lambda layers instead of self-attention☆69Updated 4 years ago
- Implementation of the GBST block from the Charformer paper, in Pytorch☆118Updated 4 years ago
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- FairSeq repo with Apollo optimizer☆114Updated last year
- HetSeq: Distributed GPU Training on Heterogeneous Infrastructure☆106Updated 2 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆226Updated 3 years ago
- Code for scaling Transformers☆26Updated 4 years ago
- Understanding the Difficulty of Training Transformers☆330Updated 3 years ago
- Implementation of Hierarchical Transformer Memory (HTM) for Pytorch☆75Updated 4 years ago
- A minimal PyTorch Lightning OpenAI GPT w DeepSpeed Training!☆113Updated 2 years ago
- [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks☆60Updated 2 years ago
- Implementation of Mixout with PyTorch☆75Updated 2 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- Implementation of Marge, Pre-training via Paraphrasing, in Pytorch☆76Updated 4 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆205Updated 2 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆120Updated 4 years ago
- ☆62Updated 3 years ago