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Bayesian Modeling and Probabilistic Programming in Python
Created
2009-05-05
10,105 commits to main branch, last one 10 hours ago
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Created
2019-02-13
1,229 commits to master branch, last one a day ago
Bayesian inference with probabilistic programming.
Created
2016-04-29
3,390 commits to master branch, last one 7 days 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
The Python ensemble sampling toolkit for affine-invariant MCMC
Created
2011-11-07
952 commits to main branch, last one 3 days ago
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Created
2016-06-20
4,463 commits to main branch, last one about a month ago
RStan, the R interface to Stan
Created
2013-05-22
3,812 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
Boltzmann Machines in TensorFlow with examples
Created
2017-10-23
773 commits to master branch, last one 3 years ago
Bitmap generation from a single example with convolutions and MCMC
Created
2016-03-29
34 commits to master branch, last one 2 years 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
Bayesian Data Analysis demos for R
Created
2016-02-10
340 commits to master branch, last one 27 days ago
bayesplot R package for plotting Bayesian models
Created
2016-05-20
1,638 commits to master branch, last one 3 months ago
DGMs for NLP. A roadmap.
mcmc
parsing
decoding
language-model
generative-text
text-generation
generative-model
graphical-models
generative-models
normalizing-flows
discrete-structures
gradient-estimation
approximate-inference
structured-prediction
variational-inference
latent-variable-models
markov-chain-monte-carlo
variational-autoencoders
natural-language-processing
generative-adversarial-networks
Created
2019-04-09
191 commits to master branch, last one about a year ago
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
Created
2018-10-30
1,115 commits to master branch, last one 2 months ago
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Created
2020-02-04
2,111 commits to main branch, last one 11 hours ago
Types and utility functions for summarizing Markov chain Monte Carlo simulations
Created
2018-08-16
512 commits to master branch, last one 2 months ago
A repository to keep track of all the code that I end up writing for my blog posts.
Created
2019-12-25
57 commits to master branch, last one about a year ago
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Created
2014-10-19
1,735 commits to main branch, last one about a month ago
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Created
2016-11-02
412 commits to master branch, last one 6 days ago
Bayesian Evolutionary Analysis by Sampling Trees
Created
2014-01-15
3,037 commits to master branch, last one 6 days ago
⚡️ zeus: Lightning Fast MCMC ⚡️
Created
2019-10-25
251 commits to main branch, last one 8 months ago
Manifold Markov chain Monte Carlo methods in Python
Created
2016-02-25
453 commits to main branch, last one 16 days ago
Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
Created
2014-07-07
926 commits to master branch, last one 3 days ago
A Bayesian Analysis Toolkit in Julia
Created
2017-04-21
1,180 commits to main branch, last one 2 days ago
Fast & scalable MCMC for all your exoplanet needs!
Created
2018-06-20
1,290 commits to main branch, last one 28 days ago
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Created
2021-11-30
881 commits to main branch, last one 2 months ago
shinystan R package and ShinyStan GUI
Created
2015-02-25
892 commits to master branch, last one 2 years ago
Bayesian Evolutionary Analysis Sampling Trees
Created
2015-04-19
13,561 commits to master branch, last one 2 days ago
PhyML -- Phylogenetic estimation using (Maximum) Likelihood
Created
2014-09-15
1,989 commits to master branch, last one about a month ago