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shllemon's Projects

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

cs-xmind-note icon cs-xmind-note

计算机专业课(408)思维导图和笔记:计算机组成原理(第五版 王爱英),数据结构(王道),计算机网络(第七版 谢希仁),操作系统(第四版 汤小丹)

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data-science icon data-science

:bar_chart: Path to a free self-taught education in Data Science!

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

econ5170 icon econ5170

Econ5170@CUHK: Computational Methods in Economics (2019 Spring)

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics)

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

interactive-dictionary-in-python icon interactive-dictionary-in-python

Create a dictionary in Python which can retrieve definitions for user, ask 'did you mean this instead?' is user made a typo while entering the word, if the word has more than one definition then retrieve them all.

kaobook icon kaobook

A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

learn-vim icon learn-vim

Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

learning icon learning

Becoming 1% better at data science everyday

leedl-tutorial icon leedl-tutorial

《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases

leetcode-solutions icon leetcode-solutions

🏋️ Python / Modern C++ Solutions of All 3008 LeetCode Problems (Weekly Update)

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接

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