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Apr 12, 2022 - Python
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mcmc
Here are 530 public repositories matching this topic...
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
python
statistical-analysis
probabilistic-programming
bayesian-inference
mcmc
variational-inference
hacktoberfest
aesara
Bayesian inference with probabilistic programming.
machine-learning
julia-language
artificial-intelligence
probabilistic-programming
bayesian-inference
mcmc
turing
probabilistic-graphical-models
hmc
hamiltonian-monte-carlo
bayesian-statistics
probabilistic-models
bayesian-neural-networks
probabilistic-inference
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Mar 17, 2022 - Julia
danielkelshaw
commented
Apr 30, 2020
Hi @JavierAntoran @stratisMarkou,
First of all, thanks for making all of this code available - it's been great to look through!
Im currently spending some time trying to work through the Weight Uncertainty in Neural Networks in order to implement Bayes-by-Backprop. I was struggling to understand the difference between your implementation of `Bayes-by-Bac
The Python ensemble sampling toolkit for affine-invariant MCMC
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Apr 11, 2022 - Python
Owl - OCaml Scientific Computing @ http://ocaml.xyz
machine-learning
statistics
neural-network
optimization
matrix
linear-algebra
automatic-differentiation
regression
autograd
numerical-calculations
scientific-computing
topic-modeling
ndarray
plotting
gsl
maths
sparse-linear-systems
statistical-functions
mcmc
algorithmic-differentation
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Apr 11, 2022 - OCaml
Bayesian Data Analysis demos for Python
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Dec 16, 2021 - Jupyter Notebook
RStan, the R interface to Stan
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Apr 8, 2022 - C++
Boltzmann Machines in TensorFlow with examples
machine-learning
deep-learning
tensorflow
keras
restricted-boltzmann-machine
rbm
dbm
boltzmann-machines
mcmc
variational-inference
gibbs-sampling
ais
sklearn-compatible
tensorflow-models
pcd
contrastive-divergence-algorithm
energy-based-model
annealed-importance-sampling
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Nov 5, 2021 - Jupyter Notebook
Bitmap generation from a single example with convolutions and MCMC
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Mar 23, 2019 - C#
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
probabilistic-programming
bayesian-inference
mcmc
pymc3
bayesian-data-analysis
hierarchical-models
kruschke
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Aug 13, 2021 - Jupyter Notebook
Bayesian Data Analysis demos for R
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Mar 25, 2022 - R
High-performance Bayesian Data Analysis on the GPU in Clojure
machine-learning
clojure
statistics
gpu
opencl
cuda
clojure-library
high-performance-computing
gpu-acceleration
bayesian
gpu-computing
bayesian-inference
mcmc
bayesian-data-analysis
markov-chain-monte-carlo
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Sep 10, 2020 - Clojure
bayesplot R package for plotting Bayesian models
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Mar 31, 2022 - R
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
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Feb 25, 2022 - Julia
DGMs for NLP. A roadmap.
natural-language-processing
parsing
decoding
text-generation
generative-text
generative-model
graphical-models
mcmc
language-model
generative-adversarial-networks
variational-inference
markov-chain-monte-carlo
latent-variable-models
normalizing-flows
structured-prediction
discrete-structures
generative-models
variational-autoencoders
approximate-inference
gradient-estimation
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Feb 7, 2022
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
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Dec 20, 2017 - Python
Collection of probabilistic models and inference algorithms
python
machine-learning
bayesian
bayesian-inference
mcmc
variational-inference
gibbs-sampling
dirichlet-process
probabilistic-models
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Apr 3, 2020 - Python
Types and utility functions for summarizing Markov chain Monte Carlo simulations
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Apr 9, 2022 - Julia
A repository to keep track of all the code that I end up writing for my blog posts.
python
data
machine-learning
spark
time-series
graphs
chatbot
blogging
datascience
gan
xgboost
mcmc
streamlit
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Oct 1, 2020 - Jupyter Notebook
Manifold Markov chain Monte Carlo methods in Python
python
mcmc
hmc
hamiltonian-monte-carlo
markov-chain-monte-carlo
hybrid-monte-carlo
inference-algorithms
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Sep 20, 2021 - Python
shinystan R package and ShinyStan GUI
r
bayesian-methods
bayesian
bayesian-inference
stan
r-package
shiny-apps
statistical-graphics
mcmc
bayesian-data-analysis
bayesian-statistics
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Mar 3, 2022 - R
Bayesian Evolutionary Analysis by Sampling Trees
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Apr 7, 2022 - Java
python
machine-learning
inference
sampling
bayesian-inference
general-purpose
mcmc
mcmc-sampler
sampling-methods
probabilistic-data-analysis
black-box-bayesian-inference
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Mar 21, 2022 - Python
Fast & scalable MCMC for all your exoplanet needs!
time-series
astronomy
exoplanets
astrophysics
bayesian-inference
mcmc
exoplanet-transits
pymc3
gaussian-processes
time-series-analysis
exoplanet
exoplanet-radial-velocities
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Apr 11, 2022 - Python
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
python
c
machine-learning
cpp
fortran
monte-carlo
matlab
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mpi
markov-chain
adaptive-learning
machine-learning-library
sampling
bayesian-inference
mcmc
monte-carlo-simulations
bayesian-statistics
intergration
parallel-library
paramonte-library
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Jul 12, 2021 - Fortran
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
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Apr 10, 2022 - Julia
Bayesian Evolutionary Analysis Sampling Trees
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Apr 12, 2022 - Java
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
python
molecular-dynamics
openmm
molecular-simulations
mcmc
markov-chain-monte-carlo
alchemical-free-energy-calculations
free-energy-calculations
replica-exchange
integrators
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Apr 11, 2022 - Python
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Dear Numpyro developers,
Please develop Euler Maruyama features in numpyro similar to features found in PyMC.
Thanks alot.