142 results found Sort:
- Filter by Primary Language:
- Python (50)
- Julia (24)
- Jupyter Notebook (22)
- R (11)
- C++ (9)
- HTML (4)
- Fortran (3)
- Stan (3)
- MATLAB (3)
- C (2)
- Java (1)
- CSS (1)
- Scala (1)
- C# (1)
- TeX (1)
- +
Machine learning, in numpy
Created
2019-04-06
348 commits to master branch, last one 2 years ago
Deep universal probabilistic programming with Python and PyTorch
Created
2017-06-16
2,472 commits to dev branch, last one 4 days ago
Bayesian Modeling and Probabilistic Programming in Python
Created
2009-05-05
9,917 commits to main branch, last one 23 hours 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
16,665 commits to develop branch, last one 7 days ago
Fast and Easy Infinite Neural Networks in Python
Created
2019-04-08
650 commits to main branch, last one 3 months 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 4 years 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 3 months ago
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Created
2019-02-13
1,184 commits to master branch, last one 3 days ago
Bayesian inference with probabilistic programming.
Created
2016-04-29
3,344 commits to master branch, last one a day ago
PyMC educational resources
Created
2017-11-13
407 commits to main branch, last one 4 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 7 months ago
Infer.NET is a framework for running Bayesian inference in graphical models
Created
2018-09-14
468 commits to main branch, last one 2 months 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 3 years ago
Awesome resources on normalizing flows.
Created
2019-12-11
106 commits to main branch, last one about a month ago
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Created
2015-06-17
5,390 commits to master branch, last one 3 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
808 commits to main branch, last one about a month ago
RStan, the R interface to Stan
Created
2013-05-22
3,808 commits to develop branch, last one 3 months ago
Bayesian Data Analysis demos for Python
Created
2015-03-04
178 commits to master branch, last one 2 years ago
Learn about Machine Learning and Artificial Intelligence
Created
2016-04-22
181 commits to master branch, last one 2 years ago
A Library for Uncertainty Quantification.
Created
2022-11-17
229 commits to main branch, last one 2 months ago
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Created
2015-11-25
7,036 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
500 commits to main branch, last one 4 days ago
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Created
2016-07-13
210 commits to master branch, last one 2 years ago
How to do Bayesian statistical modelling using numpy and PyMC3
Created
2018-02-01
262 commits to master branch, last one about a year ago
Bayesian Data Analysis demos for R
Created
2016-02-10
324 commits to master branch, last one 23 days ago
A collection of Bayesian data analysis recipes using PyMC3
Created
2017-03-05
121 commits to master branch, last one 3 years ago
Simulation-based inference toolkit
Created
2020-02-11
1,158 commits to main branch, last one 4 days ago
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Created
2020-12-17
140 commits to main branch, last one 5 months ago
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Created
2020-01-01
898 commits to master branch, last one 8 days ago