Machine learning, in numpy
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
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 apply using the link in the readme to join our open source AI research team.
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.
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
Bayesian inference with probabilistic programming.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
PyMC educational resources
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Awesome resources on normalizing flows.
Infer.NET is a framework for running Bayesian inference in graphical models
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
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
solution of exercises of the book "probabilistic robotics"
BAyesian Model-Building Interface (Bambi) in Python.