Jason Hao Huang's repositories
AI-research-tools
:hammer:AI 方向好用的科研工具
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
awesome-knowledge-graph
整理知识图谱相关学习资料
axcell
Tools for extracting tables and texts from papers
books
【编程随想】收藏的电子书清单（多个学科，含下载链接）
cso-classifier
Script that classifies content from scientific papers with the topics of the Computer Science Ontology (CSO).
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
drawio-desktop
Official electron build of draw.io
emoji-cheat-sheet
A markdown version emoji cheat sheet
free-programming-books
:books: Freely available programming books
graph_bed
support my markdown notes
halo
✍ An excellent open source blog publishing application. | 一个优秀的开源博客发布应用。
hello_word
the first test repository
interpretable-ml-book
Book about interpretable machine learning
KnowledgeGraphCourse
东南大学《知识图谱》研究生课程
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
Animation engine for explanatory math videos
materials
Bonus materials, exercises, and example projects for our Python tutorials
MIT-Linear-Algebra-Notes
Notes for MIT-Linear-Algebra
nlp-journey
NLP 相关的一些文档、论文及代码, 包括主题模型(Topic Model)、词向量(Word Embedding)、命名实体识别(Named Entity Recognition)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算、机器翻译(Machine Translation)等，涉及到各种与nlp相关的算法，基于tensorflow 2.0。
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
ohmyzsh
🙃 A delightful community-driven (with 1500+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
ontology-tutorial
Ontology Tutorial
PRML
PRML algorithms implemented in Python
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
STTM
Short Text Topic Modeling, JAVA
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
torchbench
Easily benchmark machine learning models in PyTorch