Brings SQL and AI together.

My blogs and code for machine learning. http://cnblogs.com/pinard

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

A blazingly fast multi-language serialization framework powered by JIT and zero-copy.

Tensorflow Java examples

GeaFlow: A Streaming Graph Computing Engine.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

🦜🔗 Build context-aware reasoning applications

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well a…

A benchmark suite for Graph Machine Learning

Graph Pattern Mining

Graph Convolutional Networks for Text Classification. AAAI 2019

主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.

谷歌自然语言处理模型BERT：论文解析与python代码

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

All For NLP, especially Chinese.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

主要展示Datawhale的组队学习计划。

东南大学《知识图谱》研究生课程

吴恩达老师的机器学习课程个人笔记

Phodal's Toolbox

Angular UI Component Library based on Ant Design

Machine learning resources