lucidrains / learning-to-expire-pytorchLinks
An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain
☆34Updated 5 years ago
Alternatives and similar repositories for learning-to-expire-pytorch
Users that are interested in learning-to-expire-pytorch 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
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆46Updated 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
- A variant of Transformer-XL where the memory is updated not with a queue, but with attention☆49Updated 5 years ago
- Implementation of Feedback Transformer in Pytorch☆108Updated 4 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 4 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 4 years ago
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated 2 years ago
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆84Updated last week
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆76Updated 2 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆63Updated 3 years ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated 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
- Trains Transformer model variants. Data isn't shuffled between batches.☆143Updated 3 years ago
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …☆55Updated 4 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 5 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆124Updated 5 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆108Updated 4 years ago
- Axial Positional Embedding for Pytorch☆84Updated 8 months ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆81Updated 3 years ago
- Exploring Few-Shot Adaptation of Language Models with Tables☆24Updated 3 years ago
- FairSeq repo with Apollo optimizer☆114Updated last year
- Code for EMNLP 2020 paper CoDIR☆41Updated 3 years ago