jason-huanghao Goto Github PK

ai-nlp-paper-readings

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

ai-products-all-in-one

彙整了真正實用的 ChatGPT 與生成式 AI 工具

awca

Ancient World Computational Analysis (AWCA), with support from the Data Science Discovery Program (DS-D) at UC Berkeley.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-english-ebooks

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

awesome-ontology

A curated list of ontology things

awesome-semantic-web

A curated list of various semantic web and linked data resources.

bert-embedding

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

book

:green_book:我的个人书籍学习和收藏

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

core-concept-seeded-lda

Seed Knowledge based LDA towards Ontology Learning as a Term Clustering Method

crawl-open-review

Crawl submissoins information of papers in open review platform

dowhy_zh

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。

drawio_graphs

free-data-science-books

Free resources for learning data science

jason-huanghao.github.io

Jason Huang's Hexo blog

kg-beijing

北京知识图谱学习小组

knowledge-graph-tutorials-and-papers

Insightful Tutorials and Papers about Knowledge Graphs

looper

A resource list for causality in statistics, data science and physics

machinelearning_notes

Machine learning and deep learning resources

ml-books

A list of freely available Machine Learning related books.

ml-nlp

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。

ml-road

Machine Learning Resources, Practice and Research

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

picgobed

pymatch

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

pytorchdocs

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！