Jun Li's starred repositories
Machine_Learning_Study_Path
机器学习过程中所看的书,视频和源码
Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
translationCSAPP
为 CSAPP 视频课程提供字幕,翻译 PPT,Lab。
Shift-AI-models-to-real-world-products
Share some useful guides and references about how to shift AI models to real world products or projects.
modern-resume-theme
A modern static resume template and theme. Powered by Jekyll and GitHub pages.
Dissertate
Beautiful LaTeX dissertation templates.
document-style-guide
中文技术文档的写作规范
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
deeplearning-models
A collection of various deep learning architectures, models, and tips
the-fucking-github
A Chrome extension for Github. View starred repositories, organizing stars, searching stars and searching repositories online for Github。
machine-learning-course
:speech_balloon: Machine Learning Course with Python:
awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
Awesome-System-for-Machine-Learning
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
hacker-laws-zh
💻📖对开发人员有用的定律、理论、原则和模式。(Laws, Theories, Principles and Patterns that developers will find useful.)
opensource
【编程随想】收藏的开源项目清单
pumpkin-book
《机器学习》(西瓜书)公式详解