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A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, …
Open-source implementation of Google Vizier for hyper parameters tuning
Supplementary resources for the textbook Engineering Design Optimization by Joaquim R. R. A. Martins and Andrew Ning
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Python application to setup and run streaming (contextual) bandit experiments.
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
Python implementations of contextual bandits algorithms
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Rust library for setting up and running distributed Monte-Carlo statistical simulations. Designed primarily for lattice QCD.
Distributed and decentralized training framework for PyTorch over graph
Asynchronous Distributed Hyperparameter Optimization.