deep-probabilistic-models

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mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

machine-learning tensorflow keras multivariate-distributions probabilistic-programming poisson-distribution univariate-distributions bernoulli-distribution tfp tensorflow-probability tensorflow2 binomial-distributions probabilistic-deep-learning deep-probabilistic-models probabilistic-layers

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Jupyter Notebook

csiro-funml / renyineuralprocesses

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Official implementation of Renyi Neural Processes (ICML 2025)

meta-learning statistical-machine-learning neural-processes deep-probabilistic-models

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Python

sinatayebati / deep-probabilistic-modeling

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Deep probabilistic modeling with Pyro. This repository includes various probabilistic models developed based on Pyro, a deep universal probabilistic programming framework backed by PyTorch.

pytorch pyro deep-probabilistic-models

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Jupyter Notebook

carlosloza / DNDBN

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Probabilistic modeling of time series based on Deep Neural Hidden Semi-Markov Models. Biosignals-specific (EEG) implementation.

eeg graphical-models bayesian-networks deep-probabilistic-models

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Python

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