bayes-logistic-regression

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The "Python Machine Learning (1st edition)" book code repository and info resource

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Probabilistic reasoning and statistical analysis in TensorFlow

High-quality implementations of standard and SOTA methods on a variety of tasks.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and ?ukasz Kaiser offered by deeplearning.ai

A simple probabilistic programming language.

A collection of Bayesian data analysis recipes using PyMC3

Source code for my blog post "Getting started with TensorFlow on iOS"