hazan-lab / flash-stu
PyTorch implementation of the Flash Spectral Transform Unit.
☆16Updated 7 months ago
Alternatives and similar repositories for flash-stu:
Users that are interested in flash-stu are comparing it to the libraries listed below
- FlexAttention w/ FlashAttention3 Support☆26Updated 7 months ago
- Awesome Triton Resources☆27Updated 2 weeks ago
- ☆18Updated this week
- Code for the paper: https://arxiv.org/pdf/2309.06979.pdf☆19Updated 9 months ago
- Transformers components but in Triton☆33Updated last month
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- Here we will test various linear attention designs.☆60Updated last year
- Benchmark tests supporting the TiledCUDA library.☆16Updated 5 months ago
- Official implementation of "The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs"☆26Updated 2 weeks ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆60Updated 3 months ago
- Make triton easier☆47Updated 10 months ago
- Triton Implementation of HyperAttention Algorithm☆47Updated last year
- Implementation of Hyena Hierarchy in JAX☆10Updated 2 years ago
- ☆22Updated last year
- ☆32Updated 7 months ago
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆100Updated this week
- ☆14Updated 10 months ago
- Fast and memory-efficient exact attention☆68Updated 2 months ago
- Parallel Associative Scan for Language Models☆18Updated last year
- ☆13Updated last month
- APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…☆23Updated last week
- GoldFinch and other hybrid transformer components☆45Updated 9 months ago
- Experiment of using Tangent to autodiff triton☆78Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated 11 months ago
- ☆32Updated last year
- Linear Attention Sequence Parallelism (LASP)☆82Updated 11 months ago
- ☆30Updated 11 months ago
- ☆28Updated last month
- ☆31Updated last year
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆32Updated 8 months ago