CLUE

Time series forecasting with PyTorch

Algorithms for explaining machine learning models

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

Natural Gradient Boosting for Probabilistic Prediction

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

? An Open Source Texas Hold'em AI

moDel Agnostic Language for Exploration and eXplanation

Concise and beautiful algorithms written in Julia

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.