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.
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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Minimal and clean examples of machine learning algorithms implementations
Open Machine Learning Course
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Uplift modeling and causal inference with machine learning algorithms
NVIDIA cuML: GPU-Accelerated Machine Learning
Scalable and user friendly neural :brain: forecasting algorithms.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
The machine learning toolkit for time series analysis in Python
StellarGraph - Machine Learning on Graphs
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Algorithms for explaining machine learning models
A modular active learning framework for Python
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Metric learning algorithms in Python
A research toolkit for particle swarm optimization in Python
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
A curated list of Monte Carlo tree search papers with implementations.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
🎯 A comprehensive gradient-free optimization framework written in Python
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.