Pinned Repositories
2019-Slides
PyCon China 2019 幻灯片
akshare
A Utility for Crawling Historical Data of China Futures Market
AlJabr-1
Methods in Algebra (Volume 1): A Chinese textbook on Algebra
APTOS2019
43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
Blog-Back
English-material
Seeing-Theory
A visual introduction to probability and statistics.
SWJTU
西南交通大学教材共享计划
SWJTU--2
zonghanli's Repositories
zonghanli/shoo-lang
Shoo is a statically typed programming language with first-class functions, structs, and arrays.
zonghanli/deep_learning_notes
deeplearningbook学习笔记，来自于 http://www.deeplearningbook.org
zonghanli/listen-to-wikipedia
Live, generative music from Wikipedia edits
zonghanli/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）
zonghanli/gitdir
zonghanli/PopulationPredictionLinearRegression
Using Linear Regression for Population Prediction in Sweden
zonghanli/category-theory-seminar-notes-cnu-2018
首师大 2018 范畴论讨论班笔记 | Notes for CATegory theory seminar held in Capital Normal University (首都师范大学), Beijing during 2018 autumn. Pictures, LaTeX docs and PDF docs inside.
zonghanli/Introduction-to-NumPy-Matplotlib-TensorFlow
NumPy fundamentals for tensor computation; Matplotlib for data visualization
zonghanli/pandas-intro
Basic notebook introducing pandas functionality
zonghanli/Coursera-Machine-Learning-1
Coursera Machine Learning - Python code
zonghanli/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
zonghanli/Latex-Beamer-Template
中文学术LaTeX Beamer模板
zonghanli/intro_to_machine_learning
Code and tutorials for the Intro to Machine Learning elective
zonghanli/deeplearning.ai-note
网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接
zonghanli/MetaLearning-Kaggle
zonghanli/Passage
A little library for text analysis with RNNs.
zonghanli/Machine-Learning-Projects
Machine Learning Experiments and Work
zonghanli/Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
zonghanli/Markdown-LaTeX
This Markdown extension adds inline LaTeX support without the need for external images.
zonghanli/AndrewNgMachineLearning
zonghanli/LearningML
zonghanli/tianchi-yancheng
zonghanli/Unsupervised-image-co-segmentation-via-guidance-of-simple-images
zonghanli/notes-linear-algebra
线性代数笔记
zonghanli/deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
zonghanli/Grokking-Algorithms
zonghanli/ShowNationalContiguityWithAForceDirectedGraph
zonghanli/WhyMathematica
:computer: started as Mathematica tutorials/evolved into a messy collection of Mathematica scripts; Mathematica 简易教程/一个乱七八糟的放 notebook 的地方
zonghanli/neural-style
Torch implementation of neural style algorithm
zonghanli/neural-style-painting
Implementing of the "A Neural Algorithm of Artistic Style"