Superjomn

Paddle

PArallel Distributed Deep LEarning

cuda-from-scratch

emacs-dev

matshow

WIP: A visualizer for demonstrate algorithms for inter or intra-matrices.

Superjomn

Config files for my GitHub profile.

superjomn.github.io

TiPS

A distributed training framework for DNN with support of both PS and Collective ways.

triton

Development repository for the Triton language and compiler

workflow

Accumulation for some handy scripts for daily development.

a_tmp_images

byteps

A high performance and generic framework for distributed DNN training

ccgen

Some initial work about a GPU MLIR dialect.

chun-blog

Chun-blog is an emacs plugin for blogging.

CINN

a Compiler Infrastructure for Neural Networks

DockerCppDevEmacsClang

Docker image with clang-6.0 and Emacs the way I like it

doom-emacs-docker

A docker for minimum emacs env for development

explor

Some misc code for surveying features from tools or libraries.

haskydots

a python expansion of dot

hugo-PaperMod

A fast, clean, responsive Hugo theme.

llm-scratch

Keep record of some experiments.

papaya

Minimalist Hugo theme with social buttons and analytics.

pscore

a C++ serving framework

PythonKit

Swift framework to interact with Python.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

redoc

A DSL to making instruction documents reproducable.

superjomn.github.io2

temp-file

Useless

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

tf_survey

Survey TF.

the-algorithm

Source code for Twitter's Recommendation Algorithm