☆472Feb 2, 2026Updated last month
Alternatives and similar repositories for robustness_metrics
Users that are interested in robustness_metrics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,569Feb 2, 2026Updated last month
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆595Jan 26, 2024Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Aug 5, 2023Updated 2 years ago
- A simple probabilistic programming language.☆709Jan 9, 2026Updated 2 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆988Mar 12, 2026Updated 2 weeks ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,978Mar 5, 2025Updated last year
- Corruption and Perturbation Robustness (ICLR 2019)☆1,139Aug 24, 2022Updated 3 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- A simple way to calibrate your neural network.☆1,168Jul 26, 2025Updated 8 months ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Jan 10, 2024Updated 2 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆280Jul 23, 2021Updated 4 years ago
- ☆143Oct 2, 2020Updated 5 years ago
- ☆775Jan 27, 2024Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆943Jan 11, 2024Updated 2 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.☆86Apr 6, 2021Updated 4 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆638Aug 1, 2022Updated 3 years ago
- Version control for machine learning☆1,671Feb 25, 2025Updated last year
- ☆19Jun 5, 2018Updated 7 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Jun 14, 2021Updated 4 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,167Mar 22, 2024Updated 2 years ago
- ☆37Oct 3, 2023Updated 2 years ago
- ☆153May 25, 2020Updated 5 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Official code Cross-Covariance Image Transformer (XCiT)☆674Sep 28, 2021Updated 4 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Aug 13, 2020Updated 5 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Nov 24, 2020Updated 5 years ago
- ☆13Jun 10, 2022Updated 3 years ago
- JAX-based neural network library☆3,205Mar 20, 2026Updated last week
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆477Jul 6, 2023Updated 2 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆514Aug 31, 2021Updated 4 years ago
- Self-supervised learning through the eyes of a child☆146Jul 20, 2021Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆335Jan 26, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,294Mar 3, 2024Updated 2 years ago
- ☆428Aug 28, 2021Updated 4 years ago
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,986Jun 16, 2024Updated last year
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,438Feb 20, 2026Updated last month
- Implementation of the Convolutional Conditional Neural Process☆129May 17, 2021Updated 4 years ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,532Jul 17, 2025Updated 8 months ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆237Jun 29, 2021Updated 4 years ago