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
Alternatives and similar repositories for DeepEvidentialRegression
Users that are interested in DeepEvidentialRegression are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Deep evidential regression paper☆58Dec 6, 2020Updated 5 years ago
- Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neura…☆30Sep 14, 2023Updated 2 years ago
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆15Mar 20, 2026Updated last week
- ☆15Mar 12, 2024Updated 2 years ago
- An Elegant Library for Bayesian Deep Learning in PyTorch☆27Dec 19, 2022Updated 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 and start building anything your business needs.
- Official Implementation of the CVPR'23 paper 'Regularization of polynomial networks for image recognition'.☆10Jun 8, 2023Updated 2 years ago
- Pytorch Bayesian UNet model for segmentation and uncertainty prediction☆30Aug 18, 2022Updated 3 years ago
- Deep learning courses for postgraduates☆13Jun 30, 2022Updated 3 years ago
- [IEEE TVT] FII-CenterNet: an anchor-free detector with foreground attention for traffic object detection☆13Jun 11, 2021Updated 4 years ago
- Official implementation for paper titled "Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning" accepted at I…☆19Jun 18, 2024Updated last year
- Implementation for Enhancing Tampered Text Detection Through Frequency Feature Fusion and Decomposition☆28Feb 26, 2025Updated last year
- Evaluation; object detection; AP; precision; Recall; MAP; ROC☆13Jul 5, 2019Updated 6 years ago
- Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)☆20Oct 1, 2021Updated 4 years ago
- Feedforward implementation of Lightweight Probabilistic Deep Networks for Keras and Tensorflow☆14Jul 1, 2019Updated 6 years ago
- 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.
- Symmetry prediction and knowledge discovery fromX-ray diffraction patterns using an interpretable machine learning approach☆21Dec 11, 2020Updated 5 years ago
- ☆17Oct 8, 2023Updated 2 years ago
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆10Jan 19, 2022Updated 4 years ago
- The repo for x-ray diffraction pattern crystallography via deep learning.☆14Mar 7, 2024Updated 2 years ago
- Gaudi Suite for Federated Learning with Message Efficiency☆22Jan 13, 2025Updated last year
- An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map☆14Dec 30, 2021Updated 4 years ago
- Pytorch Implementation of INR-based codec RECOMBINER (Robust and Enhanced Compression with Bayesian Implicit Neural Representations)☆11Mar 9, 2024Updated 2 years ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆43Nov 18, 2024Updated last year
- Zhusuan with backend Jittor☆15Mar 4, 2022Updated 4 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.
- Language model using an RNN in PyTorch☆18Jun 3, 2018Updated 7 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- ☆16May 20, 2024Updated last year
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Oct 28, 2019Updated 6 years ago
- Data Valuation without Training of a Model, submitted to ICLR'23☆22Dec 30, 2022Updated 3 years ago
- 1st place solution for STAC Overflow: Map Floodwater from Radar Imagery hosted by Microsoft AI for Earth☆32May 4, 2022Updated 3 years ago
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆21Jun 30, 2024Updated last year
- ☆10Apr 16, 2022Updated 3 years ago
- PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf☆17Sep 29, 2024Updated last year
- 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.
- Comprehensive list of machine learning videos☆38Jun 23, 2018Updated 7 years ago
- ☆16Oct 17, 2023Updated 2 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Oct 26, 2022Updated 3 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Jun 23, 2021Updated 4 years ago
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆15Mar 28, 2024Updated last year
- Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks☆14Aug 17, 2022Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆515Jan 2, 2024Updated 2 years ago