COLLECTED BY
Organization:
Internet Archive
Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
The Wayback Machine - https://web.archive.org/web/20210622072054/https://github.com/topics/robustness
Here are
184 public repositories
matching this topic...
A Toolbox for Adversarial Robustness Research
Updated
Jun 21, 2021
Jupyter Notebook
Corruption and Perturbation Robustness (ICLR 2019)
Updated
May 3, 2021
Python
A Harder ImageNet Test Set (CVPR 2021)
Updated
Mar 1, 2021
Python
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Updated
Jan 25, 2021
Python
Code and information for face image quality assessment with SER-FIQ
Updated
Jun 9, 2021
Python
Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
Updated
Jun 6, 2021
Python
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Updated
Apr 29, 2021
Python
Adversarial attacks and defenses on Graph Neural Networks.
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Updated
Jul 25, 2019
Jupyter Notebook
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Updated
Jun 8, 2019
Python
Go library to create resilient feedback loop/control controllers.
A new test set for ImageNet
Updated
Nov 19, 2019
Jupyter Notebook
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
Updated
Mar 26, 2021
Python
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Updated
Oct 21, 2020
Python
ImageNet-R(endition) and DeepAugment
Updated
Feb 7, 2021
Python
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
Updated
Jul 2, 2020
Python
TF2.0 port for Augmix paper
Updated
Feb 4, 2020
Python
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Updated
May 15, 2019
Python
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
Updated
Mar 5, 2021
Python
Updated
Mar 25, 2021
Swift
Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
Updated
Jun 7, 2021
Python
Recentrifuge: robust comparative analysis and contamination removal for metagenomics
Updated
May 12, 2021
Python
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Updated
Oct 25, 2020
Python
Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
Updated
Jun 11, 2020
Python
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Updated
Oct 27, 2020
Jupyter Notebook
A curated (most recent) list of resources for Learning with Noisy Labels
A Closer Look at Accuracy vs. Robustness
Updated
May 17, 2021
Python
Contains code for the paper "Vision Transformers are Robust Learners".
Updated
May 18, 2021
Jupyter Notebook
Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
Updated
Oct 22, 2020
Python
Updated
Jun 8, 2021
Jupyter Notebook
Improve this page
Add a description, image, and links to the
robustness
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
robustness
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.