nitarshan / Bayes By Backprop

Statistical Rethinking (2nd ed.) with NumPyro

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Understanding normalizing flows

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

Boltzmann Machines in TensorFlow with examples

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Scalable inference for a generative model of astronomical images

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Seminars DeepBayes Summer School 2018

Python implementation of TextRank for phrase extraction and summarization of text documents

《统计学习方法》笔记-基于Python算法实现

龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本

PyData 2018 tutorial for tidying data

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Repo for the data science salary prediction of the Data Science Project From Scratch video on my youtube

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Predicts real-time bitcoin price using twitter and reddit sentiment, and sends out notifications via SMS.

pandas cheetsheet

PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.