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Bayesian inference with probabilistic programming.
Created
2016-04-29
3,420 commits to main branch, last one 2 days ago
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
Created
2019-05-27
2,300 commits to master branch, last one 10 days ago
Probabilistic Circuits from the Juice library
Created
2019-12-22
1,374 commits to master branch, last one 9 months ago
a python framework to build, learn and reason about probabilistic circuits and tensor networks
Created
2023-04-13
1,251 commits to main branch, last one a day ago
Probabilistic programming system for fast and exact symbolic inference
Created
2019-08-14
737 commits to master branch, last one 10 months ago
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
pytorch
robustness
uncertainty
learnt-depth
deep-learning
network-depths
neural-networks
machine-learning
bayesian-inference
reproducible-paper
reproducible-research
variational-inference
bayesian-deep-learning
probabilistic-inference
bayesian-neural-networks
expectation-maximization
neural-architecture-search
uncertainty-quantification
uncertainty-neural-networks
probabilistic-neural-network
Created
2020-06-12
7 commits to master branch, last one 3 years ago
This repository has no description...
Created
2017-05-16
8 commits to main branch, last one 6 years ago
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
Created
2024-02-07
8 commits to main branch, last one about a month ago
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
xai
cpp20
python
python3
causality
causal-models
credal-network
explainable-ai
markov-network
bayesian-network
causal-inference
influence-diagram
parallel-algorithm
structural-learning
statistical-learning
artificial-intelligence
probabilistic-inference
probabilistic-classifiers
machine-learning-algorithms
probabilistic-graphical-models
Created
2022-05-15
6,084 commits to master branch, last one about a month ago
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo packag...
hvac
ipopt
pymoo
pyomo
nsga-ii
deterministic
gurobi-solver
sobol-indices
building-energy
cross-validation
xgboost-regression
bayesian-optimization
nonlinear-optimization
multivariate-regression
probabilistic-inference
stochastic-optimization
latin-hypercube-sampling
machine-learning-algorithms
multi-objective-optimization
genetic-optimization-algorithm
Created
2023-02-18
66 commits to main branch, last one 2 years ago