Siyuan Li's repositories
best-resume-ever
:necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.
awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
CMakeTutorial
CMake中文实战教程
ddl-benchmarks
ddl-benchmarks: Benchmarks for Distributed Deep Learning
EffectiveTensorflow
TensorFlow tutorials and best practices.
incubator-tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
kubeasz
使用Ansible脚本二进制方式安装K8S集群，介绍组件交互原理，方便直接，不受国内网络环境影响
models
Models and examples built with TensorFlow
oneflow
OneFlow is an easy to program, scale, and deploy deep learning framework that accelerates the innovation of next-generation AI.
onnx
Open Neural Network Exchange
openspg
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) kNext SDK(python): LLM-enhanced knowledge construction, reasoning and generation
PipeSwitch
PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications
PRML
PRML algorithms implemented in Python
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
run
润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。
scikit-learn
scikit-learn: machine learning in Python
SHARK-Turbine
Unified compiler/runtime for interfacing with PyTorch Dynamo.
strategies
quantitative trading with Javascript, Python, C++, Blockly, MyLanguage(麦语言)
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.
training-bottleneck
Analyze network performance in distributed training