ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
a python framework to build, learn and reason about probabilistic circuits and tensor networks
Probabilistic programming system for fast and exact symbolic inference
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
Implementation of CogSci 2019 paper 'Active physical learning via reinforcement learning'
Solutions for the Projects of the Artificial Intelligence (CS 188) course of UC Berkeley
Mode remaining active learning for multimodal dynamical systems in TensorFlow/GPflow.
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