Bayesian inference with probabilistic programming.
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Updated
May 24, 2024 - Julia
Bayesian inference with probabilistic programming.
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Probabilistic programming system for fast and exact symbolic inference
Probabilistic Circuits from the Juice library
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
An official repository for a PGM demo of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
An Arithmetic Circuit Miner
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
A Benchmarking Suite for Probabilistic Inference Frameworks 📊🔍 Developed at IFIS, University of Lübeck
Simultaneous State Estimation and Dynamics Learning from Indirect Observations.
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 package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
Stash of some of the most potent research papers, blogs and videos on AI which I liked.
Mode remaining active learning for multimodal dynamical systems in TensorFlow/GPflow.
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