Skip to content
View zinccat's full-sized avatar
🐱
🐱

Highlights

  • Pro

Block or report zinccat

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
9 stars written in Cuda
Clear filter

LLM training in simple, raw C/CUDA

Cuda 28,428 3,333 Updated Jun 26, 2025

DeepEP: an efficient expert-parallel communication library

Cuda 8,815 1,033 Updated Dec 5, 2025

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

Cuda 5,977 778 Updated Dec 8, 2025

FlashInfer: Kernel Library for LLM Serving

Cuda 4,306 606 Updated Dec 19, 2025

Tile primitives for speedy kernels

Cuda 3,007 217 Updated Dec 9, 2025

Fastest kernels written from scratch

Cuda 499 62 Updated Sep 18, 2025

Hand-Rolled GPU communications library

Cuda 76 6 Updated Nov 25, 2025

llama.cpp to PyTorch Converter

Cuda 34 6 Updated Apr 8, 2024
Cuda 1 Updated Oct 25, 2025