Popular GitHub Repositories for Graph Theory Visualization

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

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

Graph Neural Network Library for PyTorch

? A ranked list of awesome machine learning Python libraries. Updated weekly.

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

? Chat with your SQL database ?. Accurate Text-to-SQL Generation via LLMs using RAG ?.

Turns Data and AI algorithms into production-ready web applications in no time.

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

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

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

Refine high-quality datasets and visual AI models

Anomaly detection related books, papers, videos, and toolboxes

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Learning Convolutional Neural Networks with Interactive Visualization.

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Pytorch implementation of convolutional neural network visualization techniques

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Uniform Manifold Approximation and Projection