github Not archived

Dao-AILab/flash-attention

Fast and memory-efficient exact attention

1 awesome list

Quick read

Stars
24,857
Forks
3,048
Open issues
1,313
Commits
1,557

Activity and growth

Latest capture 2026-09-08 03:06

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
+952
Stored snapshots
7

Classification

Technology stack

Metadata

Language
Python
License
BSD-3-Clause
Default branch
main
Created
2022-05-19
First commit
2022-05-20
Last pushed
2026-09-08
GitHub updated
2026-09-07
Last synced
2026-09-08 03:06
Stack scanned
2026-09-08 03:06
Archived
No

Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.

AI development signals

2 paths

Agent instructions and tool configuration found in this repository.

Agent instructions

Claude Code

View paths

Growth history

Tracked growth

7 observed captures since 2026-05-25. Observed captures are shown by default.

Stars from first capture +952

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

thu-ml/SageAttention

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

3,717 stars
Cuda 1 awesome list

mit-han-lab/duo-attention

[ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

543 stars
Python 0 awesome lists

EricLBuehler/candle-vllm

Efficent platform for inference and serving local LLMs including an OpenAI compatible API server.

729 stars
Rust 1 awesome list

certik/fastGPT

Fast GPT-2 inference written in Fortran

199 stars
Fortran 1 awesome list

raullenchai/Rapid-MLX

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

3,700 stars
Python 1 awesome list