📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

Python AxmlParser

SGLang is a fast serving framework for large language models and vision language models.

Benchmarking code for running quantized kernels from vLLM and other libraries

IQ of AI

Receipts for creating AI Applications with APIs from DashScope (and friends)!

ModelScope: bring the notion of Model-as-a-Service to life.

Open standard for machine learning interoperability

Winograd Convolution in Julia with CUDA kernels

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Fast CUDA Kernels for ResNet Inference. Using Winograd algorithm to optimize the efficiency of convolutional computing.

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

A powerful Android Dynamic Component Framework.

System design interview for IT company

CS701

每日一题的github仓库

Fast GEMM for deep learning on Kepler

View Large Files in Emacs

Color list picker for iOS > 7.0 with Crayola colors