The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
☆378Apr 16, 2026Updated 3 months ago
Alternatives and similar repositories for calibration-framework
Users that are interested in calibration-framework 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.☆1,173Jul 26, 2025Updated last year
- Calibration of Convolutional Neural Networks☆172Apr 19, 2023Updated 3 years ago
- The official implementation of Self-aware Object Detection [CVPR 2023]☆13Jun 30, 2023Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆162Jan 10, 2024Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆38Aug 25, 2023Updated 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.
- NumPy library for calibration metrics☆77Apr 27, 2026Updated 3 months ago
- Reliability diagrams visualize whether a classifier model needs calibration☆170Feb 11, 2022Updated 4 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,589Updated this week
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆524Updated this week
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Feb 3, 2022Updated 4 years ago
- ☆33Jun 12, 2025Updated last year
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆21Mar 31, 2023Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆520Jan 2, 2024Updated 2 years ago
- Python library for classifier calibration☆20May 3, 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.
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- ☆19Nov 11, 2023Updated 2 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆53Dec 20, 2019Updated 6 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆41Oct 20, 2023Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 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
- Experiments from our work Uncertainty Quantification and Deep Ensemble☆10Nov 1, 2021Updated 4 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆26Jun 10, 2023Updated 3 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆644Aug 1, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆257Jan 23, 2023Updated 3 years ago
- [CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection☆31Jun 21, 2023Updated 3 years ago
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 4 years ago
- ☆19Jun 5, 2018Updated 8 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- ☆257Dec 27, 2022Updated 3 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆67Oct 11, 2021Updated 4 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆131Aug 16, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆474Jul 7, 2026Updated last month
- Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022☆20Mar 4, 2022Updated 4 years ago
- ☆21Mar 25, 2023Updated 3 years ago
- Laplace approximations for Deep Learning.☆550Apr 22, 2025Updated last year
- ☆11Sep 11, 2022Updated 3 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆525Aug 31, 2021Updated 4 years ago
- A Library for Uncertainty Quantification.☆929Apr 23, 2025Updated last year