scikit-learn

A curated list of project tutorials for project-based learning.

A scikit-learn compatible neural network library that wraps PyTorch

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Code Repository for Machine Learning with PyTorch and Scikit-Learn

:book: [译] scikit-learn（sklearn） 中文文档

The "Python Machine Learning (3rd edition)" book code repository

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Visual analysis and diagnostic tools to facilitate machine learning model selection.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Jupyter notebooks from the scikit-learn video series

High-Performance Symbolic Regression in Python and Julia

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Probably the best curated list of data science software in Python.

Hummingbird compiles trained ML models into tensor computation for faster inference.

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

Seamlessly integrate LLMs into scikit-learn.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques