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xiaodong-liu's Projects

algorithmssedgewick icon algorithmssedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

c_o_d_5th icon c_o_d_5th

计算机组成与设计 硬件/软件接口 第5版 ; Patterson, Hennessy: Computer Organization and Design:The Hardware/Software Interface,5th Edition.

deep-marl-papers icon deep-marl-papers

[WIP✏] Paper list of deep multi-agent reinforcement learning (deep MARL)

esl-cn icon esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

gbdt_simple_tutorial icon gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

haribote icon haribote

Haribote OS Implement -- code for book "30天自制操作系统"

intro-to-dl icon intro-to-dl

Resources for "Introduction to Deep Learning" course.

mips-cpu icon mips-cpu

A Simulative CPU Running on MIPS Instruction System Based on Logisim.

ml2017 icon ml2017

2017 Spring (105-2) -- Machine Learning

practicalai icon practicalai

📚A practical approach to learning machine learning.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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