A collection of memory efficient attention operators implemented in the Triton language.
☆299Jun 24, 2026Updated 2 weeks ago
Alternatives and similar repositories for FlagAttention
Users that are interested in FlagAttention are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FlagGems is an operator library for large language models implemented in the Triton Language.☆1,044Updated this week
- Quantized Attention on GPU☆44Nov 22, 2024Updated last year
- FlagPerf is an open-source software platform for benchmarking AI chips.☆368Nov 11, 2025Updated 7 months ago
- ☆114Mar 12, 2026Updated 3 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆193Jan 28, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Collection of kernels written in Triton language☆199Jan 27, 2026Updated 5 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆606May 13, 2026Updated last month
- ☆269Jul 11, 2024Updated last year
- flash attention tutorial written in python, triton, cuda, cutlass☆525Jan 20, 2026Updated 5 months ago
- Cataloging released Triton kernels.☆310Sep 9, 2025Updated 9 months ago
- ☆347Updated this week
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆82Aug 12, 2024Updated last year
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆279Jul 1, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆47Jun 11, 2025Updated last year
- A Easy-to-understand TensorOp Matmul Tutorial☆441Mar 5, 2026Updated 4 months ago
- Applied AI experiments and examples for PyTorch☆322Aug 22, 2025Updated 10 months ago
- Experiment of using Tangent to autodiff triton☆82Jan 22, 2024Updated 2 years ago
- Framework to reduce autotune overhead to zero for well known deployments.☆101Sep 19, 2025Updated 9 months ago
- Implement Flash Attention using Cute.☆108Dec 17, 2024Updated last year
- Tile primitives for speedy kernels☆3,516Jun 15, 2026Updated 3 weeks ago
- Distributed Compiler based on Triton for Parallel Systems☆1,476Jun 25, 2026Updated last week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆360Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 🤖FFPA: Extends FlashAttention-2 via Split-D for large headdims, 1.5x~3×↑🎉 vs SDPA, up to 430T🎉 on H200.☆312Jun 29, 2026Updated last week
- Triton Implementation of HyperAttention Algorithm☆48Dec 11, 2023Updated 2 years ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,152Updated this week
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆770Aug 6, 2025Updated 11 months ago
- A Quirky Assortment of CuTe Kernels☆1,045Updated this week
- how to optimize some algorithm in cuda.☆3,118Jun 28, 2026Updated last week
- FlexAttention w/ FlashAttention3 Support☆27Oct 5, 2024Updated last year
- 🚀 Efficient implementations for emerging model architectures☆5,279Jun 30, 2026Updated last week
- Triton-based implementation of Sparse Mixture of Experts.☆278Oct 3, 2025Updated 9 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆345Feb 23, 2025Updated last year
- ☆91Jan 23, 2025Updated last year
- Transformers components but in Triton☆34May 9, 2025Updated last year
- FlashInfer: Kernel Library for LLM Serving☆5,896Updated this week
- Shared Middle-Layer for Triton Compilation☆339Dec 5, 2025Updated 7 months ago
- DeeperGEMM: crazy optimized version☆86May 5, 2025Updated last year
- extensible collectives library in triton☆98Mar 31, 2025Updated last year