Repository Index

The "Python Machine Learning (1st edition)" book code repository and info resource

• machine-learning
• machine-learning-algorithms
• logistic-regression
• data-science

Fast and Accurate ML in 3 Lines of Code

• automl
• machine-learning
• data-science
• deep-learning

Open Machine Learning Course

• machine-learning
• data-analysis
• data-science
• pandas

A unified framework for machine learning with time series

• time-series
• machine-learning
• scikit-learn
• time-series-classification

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

• machine-learning
• python
• data-science
• automl

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

• data-science
• python
• machine-learning
• pycaret

An open source python library for automated feature engineering

• feature-engineering
• machine-learning
• data-science
• automated-machine-learning

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

• machine-learning
• python
• statistics
• data-science

A scikit-learn compatible neural network library that wraps PyTorch

• scikit-learn
• pytorch
• machine-learning
• huggingface

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

• machine-learning
• visual-analysis
• model-selection
• visualization

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

• machine-learning
• deep-learning
• data-science
• docker

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

• machine-learning
• scikit-learn
• statistical-learning
• xgboost

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

• scikit-learn
• machine-learning
• xgboost
• lightgbm

Pandas integration with sklearn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

• machine-learning
• python
• statistics
• scikit-learn

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

• scikit-learn
• visualization
• machine-learning
• data-science

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

• machine-learning
• data-science
• python
• scikit-learn

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

• visualization
• python3
• python
• xgboost

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

• machine-learning
• data-science
• r
• python

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

• forecasting
• scikit-learn
• machine-learning
• python

Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.

• machine-learning
• data-science
• scikit-learn
• sklearn

Use evolutionary algorithms instead of gridsearch in scikit-learn

Python package for Bayesian Machine Learning with scikit-learn API

• python
• bayesian-machine-learning
• machine-learning
• scikit-learn

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

• feature-selection
• data-science
• python