☆18Sep 3, 2024Updated 2 years ago
Alternatives and similar repositories for bud
Users that are interested in bud are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Large-scale uncertainty benchmark in deep learning.☆70May 10, 2025Updated last year
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated 2 years ago
- [BMVC 2022] MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks☆35Jun 21, 2024Updated 2 years ago
- ☆35Aug 4, 2022Updated 4 years ago
- Computation-Aware Kalman Filtering and RTS Smoothing☆19Mar 6, 2025Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆20Mar 21, 2024Updated 2 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆52Dec 14, 2022Updated 3 years ago
- Apply methods described in "Git Re-basin"-paper [1] to arbitrary models --- [1] Ainsworth et al. (https://arxiv.org/abs/2209.04836)☆17Oct 6, 2026Updated last week
- ☆17Jun 18, 2024Updated 2 years ago
- ☆18Nov 8, 2023Updated 2 years ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆26Mar 21, 2025Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 3 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆31Nov 1, 2024Updated last year
- [NeurIPS 2025] Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting☆21Jan 8, 2026Updated 9 months ago
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neu…☆12Apr 24, 2026Updated 5 months ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Nov 28, 2022Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Sep 3, 2024Updated 2 years ago
- ☆19May 24, 2026Updated 4 months 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
- 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.
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆37Jul 21, 2025Updated last year
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- ☆13Apr 2, 2025Updated last year
- Code for CVPR 2024 paper - Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning☆31Nov 12, 2024Updated last year
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 7 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆44Apr 12, 2023Updated 3 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Aug 22, 2023Updated 3 years ago
- ☆274Jan 18, 2026Updated 8 months ago
- Spectral Normalization and Projection Discriminator☆18Nov 13, 2018Updated 7 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.
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆44Apr 25, 2023Updated 3 years ago
- Laplace approximations for Deep Learning.☆550Updated this week
- Reimplementation of graph neural network based generation model, HDMapGen☆21Jul 23, 2024Updated 2 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- ☆47Sep 11, 2026Updated last month
- Codes for "Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution Shifts".☆17Jul 9, 2025Updated last year
- ☆17Jul 24, 2023Updated 3 years ago