iKernels / transformers-lightningLinks
A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.
☆47Updated 2 years ago
Alternatives and similar repositories for transformers-lightning
Users that are interested in transformers-lightning are comparing it to the libraries listed below
Sorting:
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- High performance pytorch modules☆18Updated 2 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- a lightweight transformer library for PyTorch☆72Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆107Updated 4 years ago
- A deep learning library based on Pytorch focussed on low resource language research and robustness☆70Updated 3 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 3 years ago
- PyTorch implementation of GLOM☆23Updated 3 years ago
- Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch☆59Updated 4 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆46Updated 4 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆76Updated 2 years ago
- AdaCat☆49Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 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
- Functional deep learning☆108Updated 2 years ago
- A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…☆67Updated 2 years ago
- Implementation of Multistream Transformers in Pytorch☆54Updated 4 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 4 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆56Updated 2 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
- Code for scaling Transformers☆26Updated 4 years ago
- This repository contains example code to build models on TPUs☆30Updated 2 years ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆38Updated 3 years ago
- Implementation of the GLOM model for text☆11Updated 4 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆133Updated 4 years ago