Deep universal probabilistic programming with Python and PyTorch

Bayesian inference with probabilistic programming.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Natural Gradient Boosting for Probabilistic Prediction

A general-purpose probabilistic programming system with programmable inference

Probabilistic time series modeling in Python

Probabilistic reasoning and statistical analysis in TensorFlow

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Fast, flexible and easy to use probabilistic modelling in Python.

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)