Popular GitHub Repositories for Graph Algorithms Visualizer

100 Days of ML Coding

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Visualizer for neural network, deep learning and machine learning models

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

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

A complete daily plan for studying to become a machine learning engineer.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Graph Neural Network Library for PyTorch

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

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

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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!!

The "Python Machine Learning (1st edition)" book code repository and info resource

FinRL: Financial Reinforcement Learning. ?