AdamCobb

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

geotorch

Constrained optimization toolkit for PyTorch

kalman-jax

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

bbo_challenge_starter_kit

Starter kit for the black box optimization challenge at Neurips 2020

torchcv

TorchCV: a PyTorch vision library mimics ChainerCV

a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

mici

Manifold Markov chain Monte Carlo methods in Python

DUN

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

baetorch

Python library for Bayesian Autoencoders

pytorch-classification

Classification with PyTorch.

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

autodidact

A pedagogical implementation of Autograd

pytorch-sso

PyTorch-SSO: Scalable Second-Order methods in PyTorch

botorch

Bayesian optimization in PyTorch

ADBench

Benchmarking various AD tools.

BayesOpt_Attack

Targeted black-box adversarial attack using Bayesian Optimization

difftorch

A differentiation API for PyTorch

uq-course

Introduction to Uncertainty Quantification

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

hessian-eff-dim

Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited

pytorch-ensembles

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

understandingbdl

mcmc-demo

Interactive Markov-chain Monte Carlo Javascript demos

PILCO

Bayesian Reinforcement Learning in Tensorflow

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

Apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

bdl-benchmarks

Bayesian Deep Learning Benchmarks

vcd_divergence

Code to minimize the Variational Contrastive Divergence (VCD)