ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionView on GitHub
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
☆80Jul 13, 2021Updated 5 years ago
Alternatives and similar repositories for My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
Users that are interested in My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆175Jun 27, 2019Updated 7 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Dec 19, 2019Updated 6 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆135Jul 30, 2019Updated 7 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- Official implementation for "Pruning Randomly Initialized Neural Networks with Iterative Randomization"☆10Oct 5, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"☆13Jun 18, 2024Updated 2 years ago
- Code for paper 'MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI'☆13Sep 2, 2022Updated 3 years ago
- ☆13May 10, 2020Updated 6 years ago
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 8 years ago
- ☆83Oct 17, 2018Updated 7 years ago
- DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)☆60Jun 22, 2020Updated 6 years ago
- Efficient Segmentation: Learning Downsampling Near Semantic Boundaries☆32Sep 29, 2020Updated 5 years ago
- code for the paper "ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts" (CVPR 2022)☆10Jul 17, 2022Updated 4 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,970Oct 20, 2023Updated 2 years ago
- 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.
- Classification uncertainty using Bayesian neural networks☆33Jun 28, 2016Updated 10 years ago
- Depth to normals preprocessing tool with Python and CUDA support for CVPR2019 paper 1899: DeepLiDAR: Deep Surface Normal Guided Depth Pre…☆11Jun 19, 2020Updated 6 years ago
- Pixel VQ-VAEs for Improved Pixel Art Representation☆17Feb 11, 2023Updated 3 years ago
- Stochastic Segmentation Networks☆67Jun 26, 2020Updated 6 years ago
- PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driv…☆12Feb 17, 2025Updated last year
- 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
- A PyTorch implementation of EMANet based on ICCV 2019 paper "Expectation-Maximization Attention Networks for Semantic Segmentation"☆18Feb 21, 2020Updated 6 years ago
- DKN code☆44Oct 21, 2019Updated 6 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆67Oct 11, 2021Updated 4 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.
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- [AIIM'22] The official code for "Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation"☆27Dec 21, 2022Updated 3 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- 北航主题的LaTeX beamer模板☆21Jun 9, 2018Updated 8 years ago
- ☆117Jun 2, 2023Updated 3 years ago
- The Official PyTorch Implementation of OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation☆35Jul 6, 2024Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆643Aug 1, 2022Updated 4 years ago
- The repo of the preprinting paper "Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection"☆26May 20, 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.
- Implementation of Optimal Transport-driven CycleGAN (OT-CycleGAN)☆23Jan 10, 2022Updated 4 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,571Apr 19, 2024Updated 2 years ago
- This repository contains the dataset of the paper ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks☆14Apr 28, 2023Updated 3 years ago
- pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行☆16Feb 23, 2019Updated 7 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- ☆15Jan 2, 2026Updated 7 months ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆824Jun 24, 2026Updated last month