Machine learning, in numpy
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Updated
Oct 29, 2023 - Python
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.
Fast and Easy Infinite Neural Networks in Python
A Python library that helps data scientists to infer causation rather than observing correlation.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Awesome resources on normalizing flows.
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.
RStan, the R interface to Stan
Bayesian Data Analysis demos for Python
Learn about Machine Learning and Artificial Intelligence
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