kzl / universal-computation
Official codebase for Pretrained Transformers as Universal Computation Engines.
☆245Updated 3 years ago
Alternatives and similar repositories for universal-computation:
Users that are interested in universal-computation are comparing it to the libraries listed below
- Trains Transformer model variants. Data isn't shuffled between batches.☆139Updated 2 years ago
- Implementation of Feedback Transformer in Pytorch☆105Updated 3 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆193Updated 3 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆102Updated 3 years ago
- Fully featured implementation of Routing Transformer☆288Updated 3 years ago
- Pytorch implementation of Compressive Transformers, from Deepmind☆155Updated 3 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆66Updated 2 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆204Updated last year
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆257Updated last year
- GPT, but made only out of MLPs☆88Updated 3 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated last year
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆97Updated last year
- VQVAEs, GumbelSoftmaxes and friends☆549Updated 3 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆256Updated 3 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆80Updated 3 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆226Updated 2 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆284Updated this week
- ☆368Updated last year
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆118Updated 3 years ago
- Understanding the Difficulty of Training Transformers☆328Updated 2 years ago
- MERLOT: Multimodal Neural Script Knowledge Models☆223Updated 2 years ago
- ☆198Updated 2 years ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- ☆155Updated 2 years ago
- Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.☆121Updated last year
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆119Updated 3 years ago
- An essential implementation of BYOL in PyTorch + PyTorch Lightning☆51Updated 3 years ago
- Benchmark for Lifelong learning research☆118Updated 3 years ago
- My implementation of DeepMind's Perceiver☆61Updated 3 years ago
- Contrastive Language-Image Pretraining☆142Updated 2 years ago