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awesome-tensor-compilers

A list of awesome compiler projects and papers for tensor computation and deep learning.

best-resume-ever

:necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

cmaketutorial

CMake中文实战教程

cv

computer vision algorithms implemented by tensorflow

ddl-benchmarks

ddl-benchmarks: Benchmarks for Distributed Deep Learning

effectivetensorflow

TensorFlow tutorials and best practices.

how-to-optimize-gemm

incubator-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

jenkins_lab

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

lsy643.github.io

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.

rent_shop

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

server

shark-turbine

Unified compiler/runtime for interfacing with PyTorch Dynamo.

stat_toolbox

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

tug-website

tvm_serving