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

• UpdatedFeb 24, 2023
• MATLAB

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

• UpdatedDec 15, 2025
• Julia

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

• UpdatedMar 14, 2023
• Dockerfile

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

• UpdatedJul 14, 2021
• Python

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

• UpdatedJul 6, 2021
• Python

Оптимизация долгосрочного портфеля акций

• UpdatedDec 16, 2025
• Python

A development environment for robust and global optimization

• UpdatedOct 21, 2025
• Julia

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

• UpdatedFeb 16, 2025
• Python

Robust GNSS Processing With Factor Graphs

• UpdatedOct 11, 2019
• C++

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

• UpdatedSep 23, 2021
• Python

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

• UpdatedMay 1, 2019
• Python

Modeling robust optimization problems in Pyomo

• UpdatedNov 11, 2022
• Python

Implementation of Robust Imitation Learning against Variations in Environment Dynamics

• UpdatedJan 30, 2023
• Python

Simulation code for “A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels,” by G. Zhou, C. Pan, et al,  IEEE TSP, vol. 68, pp. 5092-5106, 2020.

• UpdatedSep 18, 2022
• MATLAB

Code to train RL agents along with Adversarial distrubance agents

• UpdatedMar 21, 2017
• Python

Software Release for "Incremental Covariance Estimation for Robust Localization"

• UpdatedFeb 1, 2021
• Shell

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

• UpdatedAug 7, 2022
• HTML

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

• UpdatedJan 26, 2023
• Jupyter Notebook

Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models". This work adversarially unlearns the text encoder to enhance the robustness of unlearned DMs against adversarial prompt attacks and achieves a better balance between unlearning performance and image generation

• UpdatedNov 4, 2024
• Jupyter Notebook

Robust optimization for power markets

• UpdatedSep 2, 2019
• Python