microsoft/FLAML

A hyperparameter optimization framework

Automated Machine Learning with scikit-learn

AutoML library for deep learning

Distributed Asynchronous Hyperparameter Optimization in Python

Fast and Accurate ML in 3 Lines of Code

Bayesian optimization in PyTorch

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation