GithubHelp home page GithubHelp logo

Jason Hao Huang's Projects

ai-series icon ai-series

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战,数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

algorithms icon algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

axcell icon axcell

Tools for extracting tables and texts from papers

books icon books

【编程随想】收藏的电子书清单(多个学科,含下载链接)

cpp_primer_practice icon cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。

cso-classifier icon cso-classifier

Script that classifies content from scientific papers with the topics of the Computer Science Ontology (CSO).

developer-zero-to-mastery icon developer-zero-to-mastery

:books: To Be Professional Developer From Zero To Mastery, Interactive MindMap, RoadMap(Learning Path/Interview Questions), xCompass, Weekly for Developer, to Learn Everything in ITCS :dizzy: 程序员的技术视野、知识管理与职业规划,提高个人与团队的研发效能

guidedlda icon guidedlda

semi supervised guided topic model with custom guidedLDA

halo icon halo

✍ An excellent open source blog publishing application. | 一个优秀的开源博客发布应用。

knowledgegraphslides icon knowledgegraphslides

KnowledgeGraphSlides, a collection of knowledgegraph lectures, including the ccks series from 2013 to 2018, 中文知识图谱计算会议CCKS报告合集,涵盖从2013年至2018年,共48篇,从中可以看出从谷歌2012年推出知识图谱以来,**学术界及工业界这6年来知识图谱的主流**变迁。

lda_thesis icon lda_thesis

Hierarchical, multi-label topic modelling with LDA

machine-learning-learning-notes icon 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!

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1500+页)和视频链接

manim icon manim

Animation engine for explanatory math videos

materials icon materials

Bonus materials, exercises, and example projects for our Python tutorials

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.