Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Awesome Quantum Machine Learning | 2,206 | a year ago | 8 | cc0-1.0 | HTML | |||||
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web | ||||||||||
Hyperparameter Optimization Of Machine Learning Algorithms | 1,025 | 2 years ago | mit | Jupyter Notebook | ||||||
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear) | ||||||||||
Hyperparameter_hunter | 635 | 1 | 3 years ago | 16 | June 14, 2018 | 37 | mit | Python | ||
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries | ||||||||||
Solid | 518 | 5 years ago | 7 | mit | Python | |||||
🎯 A comprehensive gradient-free optimization framework written in Python | ||||||||||
Learningx | 213 | 3 years ago | 3 | mit | Python | |||||
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python | ||||||||||
Zoofs | 213 | 1 | 7 months ago | 26 | October 04, 2022 | 8 | apache-2.0 | Python | ||
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size. | ||||||||||
Ml | 187 | 9 years ago | 1 | Python | ||||||
Implementations of classic Machine Learning algorithms | ||||||||||
Sgdlibrary | 181 | a year ago | 9 | mit | MATLAB | |||||
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20 | ||||||||||
Pyxab | 135 | 9 months ago | 17 | June 17, 2023 | 2 | mit | Python | |||
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms | ||||||||||
Rsopt | 51 | a year ago | mit | MATLAB | ||||||
Riemannian stochastic optimization algorithms: Version 1.0.3 |