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.☆1,175Jul 26, 2025Updated last year
- Calibration of Convolutional Neural Networks☆172Apr 19, 2023Updated 3 years ago
- ☆16Nov 19, 2021Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆162Jan 10, 2024Updated 2 years ago
- How to calibrate your neural network classifier: Getting accurate probabilities from a classification model☆54Nov 13, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆379Apr 16, 2026Updated 4 months ago
- NumPy library for calibration metrics☆77Apr 27, 2026Updated 4 months ago
- Python library for classifier calibration☆20May 3, 2024Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆154Nov 10, 2022Updated 3 years ago
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆14Apr 9, 2024Updated 2 years ago
- Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.☆16Mar 18, 2024Updated 2 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
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆24Jun 9, 2025Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,591Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Nov 21, 2023Updated 2 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆13Jan 19, 2021Updated 5 years ago
- Adaptive-binning for evaluation of confidence calibration☆12Jul 28, 2019Updated 7 years ago
- Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016☆86Mar 24, 2023Updated 3 years ago
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- ☆17Jun 18, 2024Updated 2 years ago
- source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"☆15Oct 31, 2025Updated 9 months ago
- ☆38Nov 13, 2020Updated 5 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆520Jan 2, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Library for Uncertainty Quantification.☆928Apr 23, 2025Updated last year
- Implementation of the Unsupervised learning by predicting noise paper☆14Jan 18, 2018Updated 8 years ago
- [KDD'22] Partial Label Learning with Discrimination Augmentation☆10May 21, 2024Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 years ago
- ☆239May 23, 2020Updated 6 years ago
- ☆35Aug 19, 2024Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆642Aug 1, 2022Updated 4 years ago
- An easy-to-use interface for measuring uncertainty and robustness.☆15Jan 21, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12Jun 24, 2021Updated 5 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆75Aug 2, 2014Updated 12 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆26Jun 10, 2023Updated 3 years ago
- [AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization☆30Apr 8, 2025Updated last year
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Feb 3, 2022Updated 4 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆44Sep 23, 2020Updated 5 years ago
- Implement DNN or ML models and advanced policies with PyTorch.(Include experiment)☆11Dec 10, 2019Updated 6 years ago