Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Updated
Oct 4, 2024 - Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Python implementation of global optimization with gaussian processes.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Sequential model-based optimization with a `scipy.optimize` interface
An object-oriented algebraic modeling language in Python for structured optimization problems.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A research toolkit for particle swarm optimization in Python
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
MLBox is a powerful Automated Machine Learning python library.
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Portfolio optimization and back-testing.
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
3D face swapping implemented in Python
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
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