Scikit Learn

ML-For-BeginnersJupyter Notebook

A 12-week, 26-lesson curriculum teaching classic machine learning using Scikit-learn through hands-on projects and quizzes.

Python Data Science HandbookJupyter Notebook

A comprehensive guide to Python's essential data science libraries, available as free Jupyter notebooks.

data-science-ipython-notebooksPython

A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.

handsonmlJupyter Notebook

Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.

ONNXPython

An open standard format for representing machine learning models to enable interoperability between frameworks.

ONNX runtimeC++

A cross-platform, high-performance accelerator for machine learning inference and training with ONNX models.

daskPython

Parallel computing with task scheduling

LimeJavaScript

A Python library that explains predictions of any machine learning classifier using local interpretable model-agnostic explanations.

Dive into Machine Learning

A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.

Dive into Machine Learning

A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.

TPOTJupyter Notebook

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

tpotJupyter Notebook

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

sktimePython

A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.

Forecasting with sktimePython

A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.

PyCaretPython

An open-source, low-code Python library that automates end-to-end machine learning workflows.

auto-sklearnPython

An automated machine learning toolkit that serves as a drop-in replacement for scikit-learn estimators.

Introduction to Machine Learning with PythonJupyter Notebook

Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.

FeaturetoolsPython

An open-source Python library for automated feature engineering using Deep Feature Synthesis.

FeaturetoolsPython

An open-source Python library for automated feature engineering using Deep Feature Synthesis.

InterpretMLC++

An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.

skorchJupyter Notebook

A scikit-learn compatible neural network library that wraps PyTorch

skorchJupyter Notebook

A scikit-learn compatible neural network library that wraps PyTorch

Curated list of Python tutorials for Data Science, NLP and Machine LearningPython

A curated collection of Python tutorials and resources for data science, machine learning, and natural language processing.

machine-learning-bookJupyter Notebook

Code repository for the 'Machine Learning with PyTorch and Scikit-Learn' book, providing practical examples and notebooks.

jetson-containersJupyter Notebook

A modular container build system providing the latest AI/ML packages for NVIDIA Jetson and JetPack-L4T.

yellowbrickPython

A suite of visual diagnostic tools that extend scikit-learn to steer machine learning model selection through visualizations.

pattern_classificationJupyter Notebook

A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.

Introduction to machine learning with scikit-learnJupyter Notebook

A collection of Jupyter notebooks accompanying a 10-part video series teaching machine learning with Python's scikit-learn library.

Scikit-LLMPython

Seamlessly integrate large language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

Data Science

A curated list of Python software for data science, covering machine learning, deep learning, visualization, and data manipulation.

mljar-supervisedPython

An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.

igelPython

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

m2cgenPython

Transpile trained machine learning models into native code (Java, C, Python, Go, etc.) with zero dependencies.

scikit-optimizePython

Sequential model-based optimization with a `scipy.optimize` interface

ELI5Jupyter Notebook

A library for debugging/inspecting machine learning classifiers and explaining their predictions

MarsPython

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.