Popular GitHub Repositories for Graph Explain

Cross-platform, customizable ML solutions for live and streaming media.

A game theoretic approach to explain the output of any machine learning model.

Graph Neural Network Library for PyTorch

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Anomaly detection related books, papers, videos, and toolboxes

Fit interpretable models. Explain blackbox machine learning.

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Reliable LLM Memory for AI Applications and AI Agents

Gorgonia is a library that helps facilitate machine learning in Go.

FlowGram是一个基于节点的流程构建引擎，帮助开发者快速创建工作流程，支持固定布局和自由连接布局两种模式。

Build Graph Nets in Tensorflow

links to conference publications in graph-based deep learning

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

A collection of important graph embedding, classification and representation learning papers with implementations.

搜索所有中文NLP数据集，附常用英文NLP数据集

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

A unified, comprehensive and efficient recommendation library