tensorflow-probability

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

Statistical Rethinking (2nd Ed) with Tensorflow Probability

#计算机科学#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 ...

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

#计算机科学#TensorFlow Probability Tutorial

#计算机科学#A Python package for adding uncertainties to neural network models of chemical systems.

This repo contains the notebooks that is used in Medium posts.

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

#计算机科学#A normalizing flow using Bernstein polynomials for conditional density estimation.

Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.

#计算机科学#Distributed Training of Bayesian Neural Networks at Scale

Implementing a bayesian neural network in TensorFlow

#计算机科学#Tensor utilities, reinforcement learning, and more!

TensorFlow ML - an abstract implementation of commonly used machine learning algorithms using TensorFlow. Feel free to contribute! (Work in Progress)

#计算机科学#A Bayesian Convolutional Neural Network model for classifying Cataract in Ocular Disease with measurements of uncertainty

#时序数据库#Keras, Tensorflow eager execution implementation of Neural Processes

Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder

#计算机科学#Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference...

Jupyter Notebooks that show the basic functionalities of edward2

Code accompanying my 2021 ASA SDSS paper