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.☆1,177Jul 26, 2025Updated last year
- ☆16Nov 19, 2021Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆162Jan 10, 2024Updated 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 …☆380Apr 16, 2026Updated 5 months ago
- NumPy library for calibration metrics☆77Apr 27, 2026Updated 4 months 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.
- 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…☆155Nov 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
- baseline mode for the ObjectNet competition☆18Jan 13, 2021Updated 5 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,592Updated this week
- Calibrating LLMs with Information-Theoretic Evidential Deep Learning (ICLR 2025)☆18Mar 2, 2025Updated last year
- 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
- 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☆82Oct 18, 2021Updated 4 years ago
- ☆17Jun 18, 2024Updated 2 years ago
- [NeurIPS'23] Binary Classification with Confidence Difference☆10May 13, 2024Updated 2 years 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
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆19Sep 2, 2025Updated last year
- 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
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 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.
- ☆21Mar 25, 2023Updated 3 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 years ago
- ☆239May 23, 2020Updated 6 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
- [TPAMI 2026] Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation☆15Mar 7, 2026Updated 6 months ago
- Implementation for our paper exploring a novel 2D adaptive attention span kernel in computer vision.☆35Oct 3, 2023Updated 2 years ago
- An easy-to-use interface for measuring uncertainty and robustness.☆15Jan 21, 2021Updated 5 years ago
- ☆12Jun 24, 2021Updated 5 years ago
- 🎙️ Automatically transcribe audio/video into high-quality, speaker-specific Text-To-Speech datasets ✨☆18May 20, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Hyperparameter Tuning for Deep Learning☆16Feb 5, 2020Updated 6 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
- Toolkit for explaining the detections of an object detector☆14May 21, 2022Updated 4 years ago
- Code for EMNLP 2022 Paper: On the Calibration of Massively Multilingual Language Models☆15Jun 12, 2023Updated 3 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆53Jul 25, 2021Updated 5 years ago
- ☆12Feb 17, 2025Updated last year