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Bayesian inference with probabilistic programming.
Created
2016-04-29
3,392 commits to master branch, last one 13 days ago
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
Created
2019-05-27
2,298 commits to master branch, last one 16 days ago
Probabilistic Circuits from the Juice library
Created
2019-12-22
1,374 commits to master branch, last one 5 months ago
a python framework to build, learn and reason about probabilistic circuits and tensor networks
Created
2023-04-13
1,083 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 6 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
6 commits to main branch, last one 9 months ago