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Gaussian processes in TensorFlow
Created
2016-01-14
2,450 commits to develop branch, last one 15 days ago
Machine learning algorithms for many-body quantum systems
Created
2018-04-23
3,475 commits to master branch, last one 4 days ago
Statistical Rethinking (2nd ed.) with NumPyro
Created
2019-10-27
145 commits to master branch, last one 4 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
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Created
2020-01-14
120 commits to master branch, last one 2 years ago
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Created
2014-10-19
1,718 commits to main branch, last one 6 months ago
MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:
Created
2016-04-06
1,618 commits to develop branch, last one 4 months ago
Manifold Markov chain Monte Carlo methods in Python
Created
2016-02-25
443 commits to main branch, last one 10 months ago
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Created
2017-08-12
85 commits to master branch, last one 4 months ago
CmdStanR: the R interface to CmdStan
Created
2019-10-01
3,307 commits to master branch, last one a day ago
R package for statistical inference using partially observed Markov processes
r
abc
pomp
b-spline
likelihood
state-space
time-series
markov-model
sobol-sequence
likelihood-free
particle-filter
dynamical-systems
measurement-error
simulation-modeling
stochastic-processes
statistical-inference
differential-equations
mathematical-modelling
sequential-monte-carlo
markov-chain-monte-carlo
Created
2015-07-06
3,041 commits to master branch, last one 19 days ago
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
Created
2020-07-02
617 commits to master branch, last one about a year ago
Python implementation of MATLAB toolbox "mcmcstat"
Created
2017-10-19
1,026 commits to master branch, last one 3 years ago
Diffusive Nested Sampling
Created
2015-12-09
859 commits to master branch, last one about a year ago
A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
Created
2019-12-08
111 commits to master branch, last one 3 years ago
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
Created
2023-08-14
54 commits to main branch, last one 5 months ago