Awesome Machine Learning

Deep Learning for humans

Streamlit — A faster way to build and share data apps.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

💫 Industrial-strength Natural Language Processing (NLP) in Python

Data Apps & Dashboards for Python. No JavaScript Required.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Statsmodels: statistical modeling and econometrics in Python

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.

Deep learning library featuring a higher-level API for TensorFlow.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

AI Infra / AI Orchestration / AI Control Plane

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

Algorithmic Trading in Python with Machine Learning

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

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Shōgun

StellarGraph - Machine Learning on Graphs

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

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

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

Machine learning with dataframes

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

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

Build, test, deploy, iterate - Dev and prod tool for data science pipelines