Pinned Repositories
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
awesome-thesis
A curated list of practical tips and tricks to help you achieve an awesome CS master thesis [WIP] - contributions are welcome
Bayesian-Optimization
Bayesian Optimization algorithms with various recent improvements
book
Codelabs
copt
A Python library for mathematical optimization
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Numerical-Optimization-Books
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
scipy
SciPy library main repository
stochopy
Python library for stochastic numerical optimization
XiangyuYang-Opt's Repositories
XiangyuYang-Opt/scipy
SciPy library main repository
XiangyuYang-Opt/stochopy
Python library for stochastic numerical optimization
XiangyuYang-Opt/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
XiangyuYang-Opt/Bayesian-Optimization
Bayesian Optimization algorithms with various recent improvements
XiangyuYang-Opt/book
Codelabs
XiangyuYang-Opt/copt
A Python library for mathematical optimization
XiangyuYang-Opt/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
XiangyuYang-Opt/DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
XiangyuYang-Opt/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
XiangyuYang-Opt/easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
XiangyuYang-Opt/ee227c.github.io
EE227C (Spring 2018) Course page
XiangyuYang-Opt/github-slideshow
A robot powered training repository :robot:
XiangyuYang-Opt/Hands-on-RL
https://hrl.boyuai.com/
XiangyuYang-Opt/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.
XiangyuYang-Opt/interviews
Everything you need to know to get the job.
XiangyuYang-Opt/Learn-LNS-policy
XiangyuYang-Opt/MathematicalEngineeringDeepLearning
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
XiangyuYang-Opt/MATLAB4AI
MATLAB for AI
XiangyuYang-Opt/ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
XiangyuYang-Opt/Multitask-Learning
Awesome Multitask Learning Resources
XiangyuYang-Opt/ncOPT
Python implementation of the SQP-GS algorithm for nonsmooth, nonconvex constrained optimization.
XiangyuYang-Opt/Open-L2O
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
XiangyuYang-Opt/pml2-book
Probabilistic Machine Learning: Advanced Topics
XiangyuYang-Opt/Practical_Python_Programming_2021
北邮《Python编程与实践》课程(2021)
XiangyuYang-Opt/PySparseLP
python algorithms to solve sparse linear programming problems
XiangyuYang-Opt/PythonPark
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
XiangyuYang-Opt/ra
Basic Analysis, undergraduate real analysis textbook
XiangyuYang-Opt/simopt
A testbed of simulation-optimization problems and solvers
XiangyuYang-Opt/TheAlgorithms-Python
TheAlgorithms/Python
XiangyuYang-Opt/unitball
Graphing the p-norm unit ball in 2 dimensions is a common exercise introductory analysis. Explore the problem solving process of modeling the 3-dimensional version, a much more difficult problem, using Python.