This repository contains Python/PyMC code designed as an introduction for those familiar with introductory statistical concepts, likely from a null hypothesis significance testing (NHST) perspective.

The third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and ...

python organize_flowers17.py - Downloads Flowers17 Dataset and organizes training set in disk. python global.py - Extracts global features from training set and stores it in disk. python train_test.py ...

Over the past decade, deep learning has led to a cutting-edge performance in a variety of fields. However, it faces a fundamental constraint which is the treatment of uncertainty. The representation ...