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.

PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023

A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

a python framework to build, learn and reason about probabilistic circuits and tensor networks

Implementation of CogSci 2019 paper 'Active physical learning via reinforcement learning'

Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

Probabilistic programming system for fast and exact symbolic inference

ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.