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Awesome List
A curated list of awesome Machine Learning frameworks, libraries and software.
GitHub stars and default-branch commits for josephmisiti/awesome-machine-learning.
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The fastai deep learning library
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Evidently is โโan 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.
A scikit-learn compatible neural network library that wraps PyTorch
๐ All-in-one web-based IDE specialized for machine learning and data science.
๐ Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Machine Learning toolbox for Humans
Python package for Bayesian Machine Learning with scikit-learn API