google-research / robustness_metricsLinks
☆472Updated last week
Alternatives and similar repositories for robustness_metrics
Users that are interested in robustness_metrics are comparing it to the libraries listed below
Sorting:
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆488Updated 3 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆592Updated 2 years ago
- 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…☆345Updated 2 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Updated 2 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆247Updated 6 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆239Updated 3 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆255Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆153Updated 3 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 5 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆372Updated 3 weeks ago
- ☆252Updated 3 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆604Updated 2 months ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆430Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆165Updated 4 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆291Updated 5 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆635Updated 3 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- A Machine Learning workflow for Slurm.☆152Updated 5 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆247Updated last year
- Unit Testing for pytorch, based on mltest☆312Updated 5 years ago
- Reusable BatchBALD implementation☆78Updated last year
- ☆159Updated 3 years ago
- ☆100Updated 4 years ago
- To Run, Manage and Visualize Large Scale Experiments☆172Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,566Updated last week
- Efficient PyTorch Hessian eigendecomposition tools!☆384Updated last year
- Calibration of Convolutional Neural Networks☆171Updated 2 years ago