google-research / robustness_metricsLinks
☆469Updated 4 months ago
Alternatives and similar repositories for robustness_metrics
Users that are interested in robustness_metrics are comparing it to the libraries listed below
Sorting:
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆574Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆481Updated 3 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆472Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 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…☆341Updated 2 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆236Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆590Updated 8 months ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆245Updated 2 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆365Updated last year
- ☆243Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 5 years ago
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆425Updated 3 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆183Updated 4 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆290Updated 5 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆154Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,532Updated 3 months ago
- Unit Testing for pytorch, based on mltest☆312Updated 4 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆242Updated last year
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"☆415Updated last year
- A simple way to calibrate your neural network.☆1,162Updated last month
- ☆100Updated 3 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆632Updated 3 years ago
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆631Updated 3 years ago