Awesome Machine Learning

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

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Fit interpretable models. Explain blackbox machine learning.

A scikit-learn compatible neural network library that wraps PyTorch

🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

An intuitive library to add plotting functionality to scikit-learn objects.

A modular active learning framework for Python

Feature engineering and selection open-source Python library compatible with sklearn.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Python package for Bayesian Machine Learning with scikit-learn API

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