Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
☆114Jun 7, 2022Updated 3 years ago
Alternatives and similar repositories for DUE
Users that are interested in DUE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆148Jun 2, 2023Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,570Mar 24, 2026Updated 3 weeks ago
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆10Jan 19, 2022Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Jul 25, 2022Updated 3 years ago
- PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf☆17Sep 29, 2024Updated last year
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆55May 5, 2023Updated 2 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Jan 8, 2019Updated 7 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆87Apr 5, 2023Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- Laplace approximations for Deep Learning.☆538Apr 22, 2025Updated 11 months ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆520Jan 2, 2024Updated 2 years ago
- ☆11Oct 3, 2021Updated 4 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.
- Numpyro examples in Python notebooks☆11Sep 7, 2020Updated 5 years ago
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Dec 9, 2023Updated 2 years ago
- Belief matching framework official implementation☆41Mar 24, 2023Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- Learning with uncertainty for biological discovery and design☆34Mar 24, 2023Updated 3 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Nov 1, 2022Updated 3 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆518Aug 31, 2021Updated 4 years ago
- ☆18Oct 29, 2021Updated 4 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 5 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆78Feb 15, 2021Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Apr 16, 2020Updated 5 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 4 years ago
- Reusable BatchBALD implementation☆77Feb 28, 2024Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆638Aug 1, 2022Updated 3 years ago
- A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-di…☆17Nov 26, 2022Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆467Aug 28, 2024Updated last year
- 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.
- Material for the MUDS Practical Data Science Training☆15Feb 1, 2021Updated 5 years ago
- Pytorch implementation of COIN++ 🍁☆76Jul 13, 2022Updated 3 years ago
- ☆432Aug 28, 2021Updated 4 years ago
- [WACV 2024] MACP: Efficient Model Adaptation for Cooperative Perception.☆19May 3, 2024Updated last year
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,965Oct 20, 2023Updated 2 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Apr 5, 2021Updated 5 years ago