Anggipratama17/triton-accelerated-attention
π Implement Triton GPU kernels for multi-head self-attention, enabling efficient understanding and benchmarking of core attention computations.
Stars
—
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Anggipratama17/triton-accelerated-attention"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
open-mmlab/mmdeploy
OpenMMLab Model Deployment Framework
triton-inference-server/server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
gpu-mode/Triton-Puzzles
Puzzles for learning Triton
hyperai/tvm-cn
TVM Documentation in Chinese Simplified / TVM δΈζζζ‘£
triton-inference-server/model_analyzer
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory...