Yang's repositories
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
practicalAI
📚A practical approach to learning machine learning.
ADMM
Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
admm-pruning
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
awesome-beamers
beamer template collection
c9-python-getting-started
Sample code for Channel 9 Python for Beginners course
CoderChef-Kitchen
The official repository for our programming kitchen which consists of 50+ delicious programming recipes having all the interesting ingredients ranging from dynamic programming, graph theory, linked lists and much more. All the articles contain beautiful images and some gif/video at times to help clear important concepts.
CS229_ML
🍟 Stanford CS229: Machine Learning
ElegantNote
Elegant LaTeX Template for Notes
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
linear-programming-using-MATLAB
This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.
MachineLearning_ColumbiaX
记录edx的哥伦比亚大学机器学习课程资料
Net-Trim
The latest version of Net-Trim which solves the actual constrained problem
Noisy-DPCP
Code of paper "Noisy Dual Principal Component Pursuit", ICML 2019
paper-spray
List of interesting papers to read
Python
All Algorithms implemented in Python
REKCARC-TSC-UHT
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
ucasthesis
[最新样式] **科学院大学学位论文 LaTeX 模板 LaTeX Thesis Template for the University of Chinese Academy of Sciences
yagmail
yagmail makes sending emails very easy by doing all the magic for you
zju-icicles
浙江大学课程攻略共享计划