Comparison of machine learning software

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The following tables are a comparison of machine learning software such as software frameworks, libraries, and computer programs used for machine learning.

• Apache OpenNLP — natural language processing toolkit
• CUDA — GPU computing platform used to accelerate machine learning and deep learning workloads
• Horovod — distributed training framework for deep learning
• Hugging Face Transformers — library of pretrained transformer models built on other machine learning frameworks^[7]
• Kubeflow — machine learning platform for Kubernetes
• Mallet — toolkit for natural language processing and text analysis
• NumPy — numerical computing library used in machine learning^[8][9]
• OpenCV — computer vision library with machine learning functions
• ONNX — open format for representing machine learning models
• pandas — data analysis and data preparation library used in machine learning
• PlaidML — tensor compiler and backend for machine learning frameworks
• Polars — Dataframe library used for machine learning data preparation and analysis
• PyArrow — columnar data library used in machine learning data processing
• ROOT (TMVA) — data analysis framework with machine learning tools^[10]
• SciPy — scientific computing and optimization library used in machine learning^[11]

• Google Colab — hosted Jupyter Notebook environment commonly used for machine learning and deep learning
• JupyterLab — notebook-based development environment for machine learning and data science^[12]
• Jupyter Notebook — interactive notebook environment used for machine learning and data science^[13][14]
• Kaggle — online data science and machine learning platform^[15]

Wikibooks has a book on the topic of: Subject:Machine learning

• Comparison of deep learning software
• Comparison of statistical packages
• Data mining
• Deep learning
• List of datasets for machine-learning research
• List of machine learning algorithms
• List of Python machine learning and deep learning software
• Lists of open-source artificial intelligence software
• Outline of machine learning

• Yellowbrick — machine learning visualization library for model selection and diagnostics
• ELI5 — library for explaining and debugging machine learning models
• InterpretML — interpretable machine learning toolkit
• SHAP — library for explaining machine learning model predictions

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