PyTorch implementation of Probabilistic MIMO U-Net
☆22Aug 15, 2024Updated last year
Alternatives and similar repositories for MIMO-Unet
Users that are interested in MIMO-Unet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆44Apr 29, 2023Updated 3 years ago
- ☆17Jun 18, 2024Updated 2 years ago
- Continual Evidential Deep Learning ICCVW 2023☆14Nov 3, 2023Updated 2 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 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
- 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.
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆62Nov 1, 2023Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models☆46Dec 21, 2023Updated 2 years ago
- [NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization☆19Aug 4, 2024Updated last year
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆514Jun 30, 2026Updated last week
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 3 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆19Mar 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
- 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.
- [MICCAI-2023] Official Implementation for "UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image S…☆24Feb 11, 2024Updated 2 years ago
- Code for paper "Lymphoma segmentation from 3D PET-CT images using a deep evidential network"☆26Dec 13, 2022Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆52Dec 14, 2022Updated 3 years ago
- ☆23Aug 20, 2018Updated 7 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆820Jun 24, 2026Updated 2 weeks ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆40Oct 22, 2021Updated 4 years ago
- “SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner)☆76Aug 21, 2025Updated 10 months ago
- 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.
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- ☆68Dec 20, 2019Updated 6 years ago
- The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)☆30Jun 27, 2023Updated 3 years ago
- Dual-level deep evidential fusion☆12Mar 19, 2024Updated 2 years ago
- The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).☆27Jul 20, 2022Updated 3 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Mar 14, 2023Updated 3 years 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
- Bayesian Low-Rank Adaptation for Large Language Models☆41Jun 22, 2024Updated 2 years ago
- Rnalytica: An R package of JIRA defect datasets and tool suites for actionable software analytics☆12Aug 12, 2020Updated 5 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.
- The replication package of "CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back""☆13Feb 8, 2023Updated 3 years ago
- Public EEG-based motor imagery (MI) datasets☆13Feb 1, 2024Updated 2 years ago
- ☆11Jun 13, 2024Updated 2 years ago
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆25Oct 28, 2021Updated 4 years ago
- Code for the AAAI 2023 paper: "Global-Local Characteristic Excited Cross-Modal Attacks from Images to Video" (accepted).☆14Feb 25, 2024Updated 2 years ago
- [BMVC'24] BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation☆26Jan 19, 2026Updated 5 months ago
- Implements RNNPool and SoftPool for CNNs.☆14Jan 29, 2021Updated 5 years ago