robust-optimization

baggepinnen/MonteCarloMeasurements.jl

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

MISTLab/DOOR-SLAM

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

shahsohil/DCC

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

DeformableFriends/NeuralTracking

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

WLM1ke/poptimizer

Оптимизация долгосрочного портфеля акций

PSORLab/EAGO.jl

A development environment for robust and global optimization

lishenghui/blades

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

wvu-navLab/RobustGNSS

Robust GNSS Processing With Factor Graphs

tml-epfl/understanding-fast-adv-training

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

cog-imperial/romodel

Modeling robust optimization problems in Pyomo

JongseongChae/RIME

Implementation of Robust Imitation Learning against Variations in Environment Dynamics

ell-hol/mpc-DL-controller

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

lerrel/rllab-adv

Code to train RL agents along with Adversarial distrubance agents

XinshaoAmosWang/ProSelfLC-AT

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

cherise215/advchain

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

wvu-navLab/ICE

Software Release for "Incremental Covariance Estimation for Robust Localization"

tuomasr/robust

Robust optimization for power markets

LongPham7/Distributionally-Robust-Optimization

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

danini/multi-h

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

Iyengar-Lab/E2E-DRO

End-to-end distributionally robust optimization

jiedxu/MatrixOptim.jl

Data-driven decision making under uncertainty using matrices

OPTML-Group/AdvUnlearn

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

johon-lituobang/REDS_Invariant_Moments

Robust estimations from distribution structures: Invariant moments.

johon-lituobang/REDS_Mean

Robust estimations from distribution structures: Mean.

wvu-navLab/Enabling-Robust-State-Estimation-through-Measurement-Error-Covariance-Adaptation

Software release for "Enabling Robust State Estimation through Measurement Error Covariance Adaptation"

lauinger/Reliable-frequency-regulation-through-vehicle-to-grid

Code and data for the article "Reliable frequency regulation through vehicle-to-grid: Encoding legislation with robust constraints" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://pubsonline.informs.org/doi/10.1287/msom.2022.0154 and https://arxiv.org/pdf/2005.06042v4.pdf. This project was funded by the Institut VEDECOM.

xuwkk/Robust_MTD

This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"

neel-dey/robustNTF

PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics to Understand Fixation in Fluorescence Microscopy".

AhmadYahya97/CrosswordsGeneration

Crosswords puzzle generator and publisher using Constraints Satisfaction Problem (CSP) technique. With minimal backtracks.

kaBeech/tensort

Tunable sorting for responsive robustness and beyond

SforAiDl/decepticonlp

Python Library for Robustness Monitoring and Adversarial Debugging of NLP models

shepardyan/Nested-Column-and-Constraint-Generation-nested-C-CG-for-Two-Stage-Robust-Optimization

Two-Stage Robust Rostering Problem from the nested C&CG paper

ALFA-group/bayesopt-nash-eq

openturns/otrobopt

Robust optimization module

SachaIZADI/stochastic-optimization

One-week side project to play around stochastic optimization (how to take *good* decisions under uncertainty)