sjtuhjh Goto Github PK
Name: Huang Jinhua
Type: User
Bio: Deep Learning Compilers
Location: Shanghai, China
Huang Jinhua's Projects
aliyun-odps-software-dist
Scripts to package and distribute software for ODPS
apollo
An open autonomous driving platform
appbenchmark
Applications Performance Analysis and Enhancement
appdocs
Application Performance Optimization Summary
autoware
Open-Source To Self-Driving.
awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
awesome-deep-learning-papers
The most cited deep learning papers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-postgres
A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
bcc
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
blog
Old article at 163 BLOG, stop update!
bpf-docs
Presentations and docs
cadvisor
Analyzes resource usage and performance characteristics of running containers.
ceph-docker
Docker files and images to run Ceph in containers
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
cloud-native-slides-share
Cloud Native slides and materials share
data-science-blogs
A curated list of data science blogs
data-science-from-scratch
code for Data Science From Scratch book
deep-learning-papers-reading-roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deep_recommend_system
TensorFlow template application for deep learning
dlbench
Benchmarking State-of-the-Art Deep Learning Software Tools
dockerfile-from-image
dockerize-magento2
Composer package for dockerizing Magento 2
e-commerce-microservices-sample
A fictitious cloud-native e-commerce application using micro-services architecture powered by Spring Cloud, Docker
estuary
freetensor
A language and compiler for irregular tensor programs.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
kernel
knowledge
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