teddykoker / performerLinks
Simply Numpy implementation of the FAVOR+ attention mechanism, https://teddykoker.com/2020/11/performers/
☆38Updated 5 years ago
Alternatives and similar repositories for performer
Users that are interested in performer are comparing it to the libraries listed below
Sorting:
- a lightweight transformer library for PyTorch☆72Updated 4 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆76Updated 3 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆102Updated 2 years ago
- Relative Positional Encoding for Transformers with Linear Complexity☆65Updated 3 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 5 years ago
- Implementation of Fast Transformer in Pytorch☆177Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆111Updated 4 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆49Updated 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
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆120Updated 4 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
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆87Updated 3 months ago
- A GPT, made only of MLPs, in Jax☆59Updated 4 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆206Updated 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 a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Axial Positional Embedding for Pytorch☆84Updated 11 months ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 3 years ago
- High performance pytorch modules☆18Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆108Updated 4 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆63Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 4 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 4 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆167Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 5 years ago
- ☆163Updated 3 years ago
- ☆73Updated 4 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 4 years ago