Machine learning, in numpy
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A Python library that helps data scientists to infer causation rather than observing correlation.
Fast and Easy Infinite Neural Networks in Python
Bayesian Data Analysis course at Aalto
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Bayesian inference with probabilistic programming.
PyMC educational resources
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Infer.NET is a framework for running Bayesian inference in graphical models
Awesome resources on normalizing flows.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
solution of exercises of the book "probabilistic robotics"
BAyesian Model-Building Interface (Bambi) in Python.
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
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