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
Jupyter Notebooks that show the basic functionalities of edward2
#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...
Code accompanying my 2021 ASA SDSS paper