Distributed and parallel sampling from intractable distributions
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May 11, 2024 - Julia
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bayesian-inference
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Reference implementation of the Global Brain algorithm.
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May 10, 2024 - Julia
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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May 10, 2024 - Julia
Implementation of various inference and learning algorithms for Probabilistic Graphical Models (PGMs) without off-the-shelf libraries. Also includes projects from the PGM specialization on Coursera offered by Stanford.
learning
modeling
machine-learning-algorithms
inference
python3
bayesian-network
data-structures
bayesian-inference
probabilistic-graphical-models
pgms
markov-models
linear-gaussian-networks
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May 10, 2024 - MATLAB
Deep universal probabilistic programming with Python and PyTorch
python
machine-learning
deep-learning
pytorch
probabilistic-programming
bayesian
bayesian-inference
variational-inference
probabilistic-modeling
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May 10, 2024 - Python
R and MATLAB scripts for MAGICAL
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May 10, 2024 - R
Python package for statistical learning with a Bayesian focus
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May 10, 2024 - Python
PyHGF: A neural network library for predictive coding
reinforcement-learning
neural-networks
bayesian-inference
probabilistic-graphical-models
bayesian-filter
belief-propagation
computational-psychiatry
state-space-model
jax
graph-neural-networks
predictive-coding
active-inference
hierarchical-gaussian-filter
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May 10, 2024 - Python
A toolbox for rendering risk literacy more transparent
visualization
r
risk
rstats
representation
bayesian-inference
r-package
contingency-table
risk-literacy
2x2-matrix
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May 10, 2024 - HTML
A Julia framework for invertible neural networks
machine-learning
deep-learning
julia
julia-language
bayesian-inference
normalizing-flows
invertible-neural-networks
normalizing-flow
deep-invertible-networks
invertible-1x1-convolutions
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May 10, 2024 - Julia
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
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May 10, 2024 - Python
🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
agriculture
bayesian-inference
bayesian-statistics
decision-theory
decision-analysis
agriculture-research
agroecology
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May 10, 2024 - HTML
Bayesian Generalized Linear models using `@formula` syntax.
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May 10, 2024 - Julia
Bayesian Inference of Complex Panel Data
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May 10, 2024 - R
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
python
c
machine-learning
cpp
fortran
monte-carlo
matlab
machine-learning-algorithms
openmp
mpi
markov-chain
adaptive-learning
machine-learning-library
sampling
bayesian-inference
mcmc
monte-carlo-simulations
numerical-integration
bayesian-statistics
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May 10, 2024 - Fortran
Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)
computer-vision
deep-learning
neural-network
pytorch
uncertainty
bayesian-inference
uncertainty-quantification
uncertainty-estimation
robustness
tmlr
tmlr-2024
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May 9, 2024 - Jupyter Notebook
Interface for using finite elements in inverse problems with complex domains
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May 10, 2024 - MATLAB
The Julia implementation of the generalised hierarchical Gaussian filter
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May 9, 2024 - Julia
Population Synthesis in transport modeling
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May 9, 2024 - Jupyter Notebook
Bayesian Modeling and Probabilistic Programming in Python
python
statistical-analysis
probabilistic-programming
bayesian-inference
mcmc
variational-inference
pytensor
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May 9, 2024 - Python
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