Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Pyro | 8,356 | 18 | 90 | 4 days ago | 34 | July 29, 2023 | 248 | apache-2.0 | Python | |
Deep universal probabilistic programming with Python and PyTorch | ||||||||||
Pymc | 8,128 | 143 | 106 | 14 days ago | 36 | March 15, 2022 | 271 | other | Python | |
Bayesian Modeling and Probabilistic Programming in Python | ||||||||||
Bayesian Neural Networks | 1,633 | 6 months ago | 5 | mit | Jupyter Notebook | |||||
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more | ||||||||||
Awesome Normalizing Flows | 1,232 | 4 months ago | 1 | mit | Python | |||||
Awesome resources on normalizing flows. | ||||||||||
Pytorch Bayesiancnn | 1,181 | a year ago | 15 | mit | Python | |||||
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch. | ||||||||||
Bayesian Torch | 396 | 1 | 4 months ago | 3 | December 14, 2022 | 2 | bsd-3-clause | Python | ||
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch | ||||||||||
Pyvarinf | 300 | 5 years ago | 2 | December 13, 2018 | 3 | mit | Python | |||
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch | ||||||||||
Bcpd | 218 | a year ago | 9 | mit | C | |||||
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++) | ||||||||||
Vbmc | 209 | a year ago | bsd-3-clause | MATLAB | ||||||
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB | ||||||||||
Rethinking Tensorflow Probability | 207 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
Statistical Rethinking (2nd Ed) with Tensorflow Probability |