teddykoker / performerLinks
Simply Numpy implementation of the FAVOR+ attention mechanism, https://teddykoker.com/2020/11/performers/
☆38Updated 4 years ago
Alternatives and similar repositories for performer
Users that are interested in performer are comparing it to the libraries listed below
Sorting:
- Relative Positional Encoding for Transformers with Linear Complexity☆65Updated 3 years ago
- Implementation of Fast Transformer in Pytorch☆177Updated 4 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆110Updated 4 years ago
- Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"☆69Updated 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
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- a lightweight transformer library for PyTorch☆72Updated 4 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆207Updated 2 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆76Updated 2 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 5 years ago
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆86Updated 3 weeks ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆63Updated 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
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆165Updated last year
- Sequence Modeling with Structured State Spaces☆66Updated 3 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- A variant of Transformer-XL where the memory is updated not with a queue, but with attention☆49Updated 5 years ago
- A deep learning library based on Pytorch focussed on low resource language research and robustness☆70Updated 3 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- My explorations into editing the knowledge and memories of an attention network☆35Updated 2 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 5 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆133Updated 4 years ago
- Local Attention - Flax module for Jax☆22Updated 4 years ago
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆218Updated 2 years ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆108Updated 4 years ago
- [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion☆41Updated 4 years ago