17 results found Sort:
- Filter by Primary Language:
- Python (6)
- Jupyter Notebook (4)
- C++ (2)
- R (2)
- C (1)
- Julia (1)
- +
Gaussian processes in TensorFlow
Created
2016-01-14
2,452 commits to develop branch, last one 2 months ago
Machine learning algorithms for many-body quantum systems
Created
2018-04-23
3,682 commits to master branch, last one 6 days ago
Statistical Rethinking (2nd ed.) with NumPyro
Created
2019-10-27
145 commits to master branch, last one about a year 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 2 years ago
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Created
2020-01-14
120 commits to master branch, last one 3 years ago
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Created
2014-10-19
1,744 commits to main branch, last one 3 days 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
1,621 commits to develop branch, last one 11 days ago
Manifold Markov chain Monte Carlo methods in Python
Created
2016-02-25
455 commits to main branch, last one a day ago
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Created
2017-08-12
85 commits to master branch, last one about a year ago
CmdStanR: the R interface to CmdStan
Created
2019-10-01
3,421 commits to master branch, last one 8 days ago
R package for statistical inference using partially observed Markov processes
r
abc
b-spline
likelihood
state-space
time-series
markov-model
sobol-sequence
likelihood-free
particle-filter
dynamical-systems
measurement-error
iterated-filtering
stochastic-processes
statistical-inference
differential-equations
mathematical-modelling
sequential-monte-carlo
markov-chain-monte-carlo
simulation-based-inference
Created
2015-07-06
3,093 commits to master branch, last one 9 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 2 years ago
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
capm
finance
trading
investing
epistemology
npv-analysis
generative-ai
portfolio-theory
project-management
probabilistic-models
aleatoric-uncertainty
epistemic-uncertainty
monte-carlo-simulation
hamiltonian-monte-carlo
ontological-information
markov-chain-monte-carlo
ensemble-machine-learning
probabilistic-programming
uncertainty-quantification
maximum-likelihood-estimation
Created
2023-08-14
57 commits to main branch, last one 6 days ago
Python implementation of MATLAB toolbox "mcmcstat"
Created
2017-10-19
1,026 commits to master branch, last one 4 years ago
Diffusive Nested Sampling
Created
2015-12-09
889 commits to master branch, last one 6 months 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 4 years ago
Generalised Bayesian inversion framework
Created
2023-08-23
532 commits to main branch, last one 9 days ago