probability and Probabilistic-Deep-Learning-with-TensorFlow
TensorFlow Probability is a core probabilistic inference library that provides the fundamental building blocks (distributions, bijectors, variational inference), while the Probabilistic Deep Learning repository is an educational resource and application example that demonstrates how to use those TensorFlow Probability tools for practical use cases like autonomous vehicles and medical diagnosis.
About probability
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
About Probabilistic-Deep-Learning-with-TensorFlow
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.
Scores updated daily from GitHub, PyPI, and npm data. How scores work