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Machine learning, in numpy
Created
2019-04-06
348 commits to master branch, last one 3 years ago
Bayesian Modeling and Probabilistic Programming in Python
Created
2009-05-05
10,229 commits to main branch, last one 6 days ago
Deep universal probabilistic programming with Python and PyTorch
Created
2017-06-16
2,504 commits to dev branch, last one 18 days ago
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.
Created
2013-02-06
16,961 commits to develop branch, last one 2 days ago
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Created
2019-02-13
1,303 commits to master branch, last one 3 days ago
Fast and Easy Infinite Neural Networks in Python
Created
2019-04-08
650 commits to main branch, last one about a year ago
A Python library that helps data scientists to infer causation rather than observing correlation.
Created
2019-12-12
226 commits to develop branch, last one about a year ago
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Created
2016-07-18
439 commits to master branch, last one 5 years ago
Bayesian Data Analysis course at Aalto
Created
2018-09-07
1,663 commits to master branch, last one 3 months ago
Bayesian inference with probabilistic programming.
Created
2016-04-29
3,421 commits to main branch, last one 3 days ago
PyMC educational resources
Created
2017-11-13
411 commits to main branch, last one 3 months ago
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
hmc
mcmc
sgld
pytorch
mc-dropout
regression
uncertainty
deep-learning
classification
bayes-by-backprop
langevin-dynamics
bayesian-inference
approximate-inference
reproducible-research
variational-inference
bayesian-neural-networks
uncertainty-neural-networks
local-reparametrization-trick
out-of-distribution-detection
kronecker-factored-approximation
Created
2019-03-11
86 commits to master branch, last one about a year ago
Infer.NET is a framework for running Bayesian inference in graphical models
Created
2018-09-14
478 commits to main branch, last one 11 days ago
Awesome resources on normalizing flows.
Created
2019-12-11
111 commits to main branch, last one about a month ago
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
bayes
python
pytorch
pytorch-cnn
bayesian-network
bayes-by-backprop
bayesian-convnets
bayesian-networks
image-recognition
variational-bayes
bayesian-inference
bayesian-statistics
variational-inference
bayesian-deep-learning
aleatoric-uncertainties
bayesian-neural-networks
convolutional-neural-networks
Created
2018-07-27
308 commits to master branch, last one 4 years ago
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Created
2015-06-17
5,586 commits to master branch, last one 4 days ago
solution of exercises of the book "probabilistic robotics"
Created
2018-05-10
233 commits to master branch, last one about a year ago
BAyesian Model-Building Interface (Bambi) in Python.
Created
2016-05-16
838 commits to main branch, last one about a month ago
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
Created
2021-01-04
392 commits to main branch, last one 6 days ago
RStan, the R interface to Stan
Created
2013-05-22
3,949 commits to develop branch, last one 2 days ago
Bayesian Data Analysis demos for Python
Created
2015-03-04
178 commits to master branch, last one 3 years ago
Learn about Machine Learning and Artificial Intelligence
Created
2016-04-22
181 commits to master branch, last one 3 years ago
A Library for Uncertainty Quantification.
Created
2022-11-17
243 commits to main branch, last one 14 days ago
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Created
2020-12-09
530 commits to main branch, last one about a month ago
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Created
2015-11-25
7,322 commits to main branch, last one 12 days ago
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Created
2016-07-13
210 commits to master branch, last one 3 years ago
How to do Bayesian statistical modelling using numpy and PyMC3
Created
2018-02-01
262 commits to master branch, last one 2 years ago
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you...
Created
2020-02-11
1,345 commits to main branch, last one 2 days ago
Bayesian Data Analysis demos for R
Created
2016-02-10
340 commits to master branch, last one 5 months ago
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Created
2020-12-17
143 commits to main branch, last one about a month ago