jenny-nlc

edward

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

rl-foundation

Reinforcement-learning foundation

scikit-multiflow

A multi-output/multi-label and stream data framework. Inspired by MOA and MEKA, following scikit-learn's philosophy.

PILCO

PILCO in TensorFlow

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

elfi

ELFI - Engine for Likelihood-Free Inference

snorkel

A system for quickly generating training data with weak supervision

openturns

Uncertainty treatment library

policy_search_bb-alpha

Grad-CAM-tensorflow

tensorflow implementation of Grad-CAM (CNN visualization)

cnn-fixations

Visualising predictions of deep neural networks

modelselection_tutorial

Tutorial on model assessment, model selection and inference after model selection

bumps

Data fitting with uncertainty analysis

chaospy

Chaospy - Toolbox for performing uncertainty quantification.

autograd

Efficiently computes derivatives of numpy code.

uq-course

Introduction to Uncertainty Quantification

PyMultiNest

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

Stein-Variational-Gradient-Descent

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

auto-sklearn

modAL

A modular active learning framework for Python3

GPflow

Gaussian processes in TensorFlow

ConceptDrift

Algorithms for detecting changes from a data stream.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

GPy

Gaussian processes framework in python

uncertainty-adversarial-paper

Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'

GPyOpt

Gaussian Process Optimization using GPy

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

adversarial

some code for experimenting with adversarial examples

celerite

Scalable 1D Gaussian Processes in C++, Python, and Julia

pycuda

CUDA integration for Python, plus shiny features