Repository Index

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

Automated Machine Learning with scikit-learn

• automl
• scikit-learn
• automated-machine-learning
• hyperparameter-optimization

Symbolic Learning in Python and Julia

• symbolic-regression
• machine-learning
• python
• julia

Differentiable architecture search for convolutional and recurrent networks

• deep-learning
• automl
• image-classification
• language-modeling

AI Infra / AI Orchestration / AI Control Plane

• deep-learning
• machine-learning
• artificial-intelligence
• data-science

a delightful machine learning tool that allows you to train, test, and use models without writing code

• machine-learning
• machinelearning
• machine-learning-algorithms
• machine-learning-library

Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

✨ Build a machine learning model from a prompt

• agentic-ai
• agents
• machine-learning
• ml

Machine Learning in R

• machine-learning
• data-science
• tuning
• cran

Hyperparameter Experiments with TensorFlow and Keras

• deep-learning
• keras
• keras-tensorflow
• hyperparameter-optimization

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

• bayesian-optimization
• bayesian-optimisation
• hyperparameter-optimization
• hyperparameter-tuning

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

• python
• scikit-learn
• machine-learning
• artificial-intelligence

A hyperparameter optimization framework, inspired by Optuna.

• bayesian-optimization
• bandit-algorithms
• evolution-strategies
• blackbox-optimization