Reliability diagrams visualize whether a classifier model needs calibration
☆170Feb 11, 2022Updated 4 years ago
Alternatives and similar repositories for reliability-diagrams
Users that are interested in reliability-diagrams are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A simple way to calibrate your neural network.☆1,180Jul 26, 2025Updated last year
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- NumPy library for calibration metrics☆76Apr 27, 2026Updated 6 months ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆381Apr 16, 2026Updated 6 months ago
- Python library for classifier calibration☆20May 3, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- How to calibrate your neural network classifier: Getting accurate probabilities from a classification model☆54Nov 13, 2020Updated 5 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Nov 21, 2023Updated 2 years ago
- source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"☆15Oct 31, 2025Updated 11 months ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆155Nov 10, 2022Updated 3 years ago
- ☆16Feb 12, 2025Updated last year
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Feb 3, 2022Updated 4 years ago
- ☆13Oct 1, 2025Updated last year
- Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.☆16Mar 18, 2024Updated 2 years ago
- baseline mode for the ObjectNet competition☆18Jan 13, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Last-layer Laplace approximation code examples☆83Oct 18, 2021Updated 5 years ago
- Official Pytorch implementation of 'Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning'? (ICLR2024)☆13Mar 8, 2024Updated 2 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆191Sep 11, 2026Updated last month
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,603Oct 20, 2026Updated last week
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆521Jan 2, 2024Updated 2 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆24Jun 9, 2025Updated last year
- ☆32Feb 13, 2024Updated 2 years ago
- Principal component analysis using a linear autoencoder☆16May 25, 2019Updated 7 years ago
- [NeurIPS'23] Binary Classification with Confidence Difference☆10May 13, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆33Jun 12, 2025Updated last year
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆20Sep 2, 2025Updated last year
- ☆20Nov 11, 2023Updated 2 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 4 years ago
- Official implementation of Adaptive Feature Transfer (AFT)☆25Jun 12, 2024Updated 2 years ago
- ☆21Mar 25, 2023Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆44Apr 25, 2023Updated 3 years ago
- ☆110Jun 29, 2021Updated 5 years ago
- Implementation of the Unsupervised learning by predicting noise paper☆14Jan 18, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆239May 23, 2020Updated 6 years ago
- ☆10Jul 4, 2024Updated 2 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆829Oct 20, 2026Updated last week
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆641Aug 1, 2022Updated 4 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆25Jun 10, 2023Updated 3 years ago
- Implementation for our paper exploring a novel 2D adaptive attention span kernel in computer vision.☆35Oct 3, 2023Updated 3 years ago
- A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore Nationa…☆44Sep 29, 2020Updated 6 years ago