NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Official implementation for the NeurIPS 2020 paper Neural Non-Rigid Tracking.

Оптимизация долгосрочного портфеля акций

A development environment for robust and global optimization

Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning

Robust GNSS Processing With Factor Graphs

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Implementation of Robust Imitation Learning against Variations in Environment Dynamics

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

Modeling robust optimization problems in Pyomo

Code to train RL agents along with Adversarial distrubance agents

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Software Release for "Incremental Covariance Estimation for Robust Localization"

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

Robust optimization for power markets

The C++ implementation of Multi-H algorithm, which is a multi-plane fitting technique. If you use this work for Academic purposes, please cite Barath, D. and Matas, J. and Hajder, L., Multi-H: Efficient Recovery of Tangent Planes in Stereo Images. 27th British Machine Vision Conference, 2016

Experiments with distributionally robust optimization (DRO) for deep neural networks