Probability TheoryA quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
probabilistic-circuitsA curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
probai-2021Materials of the Nordic Probabilistic AI School 2021.
probai-2021-pyroRepo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
mtaMulti-Touch Attribution
probnmn-clevrCode for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
deeprob-kitA Python Library for Deep Probabilistic Modeling
blangSDKBlang's software development kit
MMCAcovid19.jlMicroscopic Markov Chain Approach to model the spreading of COVID-19
NanoFlowPyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
probai-2019Materials of the Nordic Probabilistic AI School 2019.
flowtorch-oldSeparating Normalizing Flows code from Pyro and improving API