Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Google and the open-source community.
☆24Nov 18, 2020Updated 5 years ago
Alternatives and similar repositories for uncertainty-metrics
Users that are interested in uncertainty-metrics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An easy-to-use interface for measuring uncertainty and robustness.☆15Jan 21, 2021Updated 5 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated 2 years ago
- ☆38Nov 13, 2020Updated 5 years ago
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Oct 26, 2021Updated 4 years ago
- Python implementation of the local outlier factor tuning algorithm described in “Automatic Hyperparameter Tuning Method for Local Outlier…☆11Aug 3, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Ensemble-based, size-agnostic wrapper for the TabPFN classifier☆35May 18, 2024Updated 2 years ago
- Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions☆24Jul 13, 2023Updated 2 years ago
- ☆37Mar 10, 2022Updated 4 years ago
- Implementation of Mutan+ArticleNet on OKVQA☆10Jan 11, 2021Updated 5 years ago
- A simple algorithm to identify and correct for label shift.☆21Feb 4, 2018Updated 8 years ago
- [ICLR 2025] Official implementation of "Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting"☆30Oct 30, 2025Updated 7 months ago
- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆14Feb 16, 2022Updated 4 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Aug 25, 2023Updated 2 years ago
- Early exit ensembles☆12Dec 4, 2021Updated 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.
- Reimplementation of SALICON saliency model in Pytorch☆12Oct 3, 2023Updated 2 years ago
- Web上に公開されている小説をスクレイピングして青空文庫形式のテキストにする☆19Feb 9, 2017Updated 9 years ago
- Regularized Learning under label shifts☆18May 1, 2019Updated 7 years ago
- Multivariate Electricity Consumption Prediction with Extreme Learning Machine☆10Jun 25, 2018Updated 7 years ago
- (KDD’24) Using Self-Supervised Learning Can Improve Model Fairness.☆11Jun 5, 2024Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Apr 23, 2024Updated 2 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- FreeCAD macro for fastener holes creation☆11Feb 20, 2020Updated 6 years ago
- Open source software for strong ground motion data processing☆10Apr 26, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,576Updated this week
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Sep 8, 2023Updated 2 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- ☆10Aug 18, 2016Updated 9 years ago
- This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We cons…☆14Jul 14, 2020Updated 5 years ago
- DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.☆26May 13, 2026Updated last month
- GUI to handle job queues in Abaqus☆14Nov 15, 2018Updated 7 years ago
- Boosted Sparse and Low-Rank Tensor Regression☆15Mar 7, 2019Updated 7 years ago
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Sep 15, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆13Oct 8, 2021Updated 4 years ago
- Aligns faces to the canonical face in both videos and images☆17Apr 11, 2022Updated 4 years ago
- ☆19Nov 11, 2023Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆25Feb 2, 2022Updated 4 years ago
- A chat app for iOS that never connects to a server☆20Apr 20, 2023Updated 3 years ago
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆21Mar 31, 2023Updated 3 years ago
- MARVIS (Modality Adaptive Reasoning over VISualizations) is an 'everything predictor' powered by VLMs + embeddings☆18Apr 15, 2026Updated 2 months ago