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Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Clean PyTorch implementations of imitation and reward learning algorithms

  • reward-learning
  • inverse-reinforcement-learning
  • imitation-learning
  • gymnasium

A collection of GICP-based fast point cloud registration algorithms

  • point-cloud
  • pcl
  • gicp
  • icp

A research toolkit for particle swarm optimization in Python

  • particle-swarm-optimization
  • optimization-tools
  • pso
  • global-optimization

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.

  • evolutionary-algorithms
  • rsi-ai
  • self-improvement
  • llm-agent