Alternatives and similar repositories for robustness_metrics:

Users that are interested in robustness_metrics are comparing it to the libraries listed below

• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆244Updated 5 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆670Updated 2 years ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆461Updated last year
• SamsungLabs / pytorch-ensembles
  Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
  ☆235Updated 2 years ago
• izmailovpavel / understandingbdl
  ☆241Updated 2 years ago
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,502Updated this week
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆476Updated 2 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆564Updated last year
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆272Updated 3 years ago
• AlaaLab / deep-learning-uncertainty
  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…
  ☆624Updated 2 years ago
• aangelopoulos / conformal_classification
  Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…
  ☆239Updated 2 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆423Updated 2 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆580Updated 4 months ago
• p-lambda / verified_calibration
  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…
  ☆149Updated 2 years ago
• decile-team / cords
  Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…
  ☆330Updated last year
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated last year
• frederick0329 / TracIn
  Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)
  ☆230Updated 3 years ago
• markus93 / NN_calibration
  Calibration of Convolutional Neural Networks
  ☆162Updated 2 years ago
• google / edward2
  A simple probabilistic programming language.
  ☆695Updated 2 months ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆180Updated 3 years ago
• EFS-OpenSource / calibration-framework
  The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …
  ☆360Updated 8 months ago
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆304Updated 4 years ago
• aamini / evidential-deep-learning
  Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
  ☆468Updated 3 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆503Updated 2 weeks ago
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆150Updated 3 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 4 years ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆316Updated 2 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated 11 months ago
• BlackHC / batchbald_redux
  Reusable BatchBALD implementation
  ☆79Updated last year
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆310Updated 4 years ago