Shypd.aiThe largest open index of AI toolspyprobml is an open-source Python code repository that reproduces figures from the "Probabilistic Machine Learning" books by Kevin Murphy, using standard Python libraries and frameworks like JAX, TensorFlow, and PyTorch.
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pyprobml is an open-source Python code repository designed to accompany Kevin Murphy's "Probabilistic Machine Learning: An Introduction" and "Probabilistic Machine Learning: Advanced Topics" books. It provides Python 3 code to reproduce all the figures presented in these textbooks, utilizing widely-used libraries such as NumPy, SciPy, Matplotlib, and scikit-learn. Additionally, the codebase incorporates modern machine learning frameworks like JAX, TensorFlow 2, and PyTorch for more advanced topics. The project is currently in maintenance mode and offers various ways to run the notebooks, including Google Colab for cloud-based execution with free GPU/TPU access, or locally after installing dependencies. It also provides utility code via probml-utils and guidance for contributions.
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