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Probabilistic Deep Learning With Tensorflow ⭐ 56

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.

Fantabeto ⭐ 21

Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.

Unlocknn ⭐ 11

A Python package for adding uncertainties to neural network models of chemical systems.

Tensorflow Probability Bernstein Polynomial Bijector ⭐ 11

A normalizing flow using Bernstein polynomials for conditional density estimation.

Tensor utilities, reinforcement learning, and more!

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