Jason Huang's Projects
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
彙整了真正實用的 ChatGPT 與生成式 AI 工具
Ancient World Computational Analysis (AWCA), with support from the Data Science Discovery Program (DS-D) at UC Berkeley.
An index of algorithms for learning causality with data
This repo includes ChatGPT prompt curation to use ChatGPT better.
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
A curated list of ontology things
A curated list of various semantic web and linked data resources.
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
:green_book:我的个人书籍学习和收藏
Repository with code and slides for a tutorial on causal inference.
Must-read papers and resources related to causal inference and machine (deep) learning
Seed Knowledge based LDA towards Ontology Learning as a Term Clustering Method
Crawl submissoins information of papers in open review platform
DoWhy是用于因果推断的Python库,它支持对因果假设进行显式建模和验证。DoWhy基于用于因果推理的统一语言,结合了因果图模型和潜结果框架。
Free resources for learning data science
Jason Huang's Hexo blog
北京知识图谱学习小组
Insightful Tutorials and Papers about Knowledge Graphs
A resource list for causality in statistics, data science and physics
Machine learning and deep learning resources
A list of freely available Machine Learning related books.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Machine Learning Resources, Practice and Research
Natural Language Processing Tutorial for Deep Learning Researchers
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!