Implementation of Deep evidential regression paper
☆58Dec 6, 2020Updated 5 years ago
Alternatives and similar repositories for deep_evidential_regression_loss_pytorch
Users that are interested in deep_evidential_regression_loss_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆528Aug 31, 2021Updated 5 years ago
- PyTorch implementation of the original evidental-deep-learning@https://github.com/aamini/evidential-deep-learning/☆13Sep 20, 2021Updated 5 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆521Jan 2, 2024Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 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.
- Code for Paper "Evidential Softmax for Sparse MultimodalDistributions in Deep Generative Models"☆11Oct 25, 2021Updated 4 years ago
- Mesh Denoising with Graph Convolutional Networks☆13Dec 12, 2024Updated last year
- ☆68Dec 20, 2019Updated 6 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- This is the available code for the paper `evidential fully convolutional network for semantic segmentation (arXiv preprint arXiv:2103.135…☆13Jun 1, 2022Updated 4 years ago
- Code for "Semantic Perturbations with Normalizing Flows for Improved Generalization"☆11Jul 13, 2021Updated 5 years ago
- Evidential Deep Learning in PyTorch☆73Sep 27, 2022Updated 4 years ago
- ☆14Jan 9, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 5 years ago
- ☆13Feb 12, 2024Updated 2 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆46Apr 29, 2023Updated 3 years ago
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆17Mar 20, 2026Updated 6 months ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Apr 27, 2021Updated 5 years ago
- This is the available code for the paper `An evidential classifier based on Dempster-Shafer theory and deep learning' (arXiv preprint arX…☆71Sep 24, 2022Updated 4 years ago
- ☆12Aug 25, 2023Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 3 years ago
- End to end software to capture new objects using RGBD camera and augment them to get a annotated dataset to train deep nets☆11Jun 23, 2021Updated 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.
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆21Jun 30, 2024Updated 2 years ago
- A PyTorch implementation of SVGD (Stein Variational Gradient Descent), contains all examples including bayesian inference in the paper☆12Jul 30, 2020Updated 6 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- ☆17Apr 17, 2025Updated last year
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Apr 5, 2023Updated 3 years ago
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆51Nov 3, 2023Updated 2 years ago
- A simple python implementation of the normalized DLT algorithm☆10May 15, 2022Updated 4 years ago
- Reproduction of the paper: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles☆27Dec 4, 2019Updated 6 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆13Sep 17, 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.
- The code of "Deep Regression Representation Learning with Topology" in ICML 2024☆14Jul 4, 2024Updated 2 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆105Nov 9, 2025Updated 11 months ago
- Course project of SJTU CS3319: Foundations of Data Science, 2023 spring☆12Jun 22, 2023Updated 3 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆89Dec 20, 2019Updated 6 years ago
- ☆18Oct 29, 2021Updated 4 years ago
- [ICLR2025] Frechet Wavelet Distance: A metric to detect domain bias in Generative models.☆18Sep 2, 2025Updated last year
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago