ahennequ / pytorch-custom-mma
☆29Updated 2 years ago
Alternatives and similar repositories for pytorch-custom-mma:
Users that are interested in pytorch-custom-mma are comparing it to the libraries listed below
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated last year
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆48Updated 3 years ago
- Another attempt at a long-context / efficient transformer by me☆37Updated 3 years ago
- Blog post☆17Updated last year
- Triton Implementation of HyperAttention Algorithm☆47Updated last year
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- ImageNet-12k subset of ImageNet-21k (fall11)☆21Updated last year
- ☆31Updated 2 weeks ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated last year
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆54Updated 2 years ago
- codebase for the SIMAT dataset and evaluation☆39Updated 3 years ago
- ☆20Updated 11 months ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆37Updated last year
- Un-*** 50 billions multimodality dataset☆24Updated 2 years ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆36Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated 11 months ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆37Updated 3 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆57Updated last year
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆99Updated 2 years ago
- ☆21Updated 2 years ago
- ☆32Updated last year
- Implementation of a holodeck, written in Pytorch☆17Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated 10 months ago
- ☆33Updated 7 months ago
- Hacks for PyTorch☆19Updated 2 years ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated last year