☆110Jun 29, 2021Updated 4 years ago
Alternatives and similar repositories for UncertaintyInNeuralNetworks_Resources
Users that are interested in UncertaintyInNeuralNetworks_Resources are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,568Mar 24, 2026Updated 2 weeks ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆795Updated this week
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆517Jan 2, 2024Updated 2 years ago
- ☆17Nov 6, 2022Updated 3 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 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.
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆148Jun 2, 2023Updated 2 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 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
- NumPy library for calibration metrics☆75Feb 24, 2026Updated last month
- ☆17Jun 18, 2024Updated last year
- ☆15Mar 20, 2023Updated 3 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆17Jan 14, 2023Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆485Updated this week
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Apr 13, 2023Updated 2 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.
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- ☆13Jul 25, 2023Updated 2 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- The official implementation of the MC-Dropconnect method for Uncertainty Estimation in DNNs☆17Sep 25, 2020Updated 5 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆517Aug 31, 2021Updated 4 years ago
- Conditional VAE using CNN on MNIST in PyTorch☆20May 24, 2020Updated 5 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- ☆17Sep 12, 2025Updated 6 months ago
- Implementation of multi-output conformal regression methods☆13Sep 23, 2025Updated 6 months ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆256Jan 23, 2023Updated 3 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
- ☆14Mar 23, 2021Updated 5 years ago
- Lightweight, useful implementation of conformal prediction on real data.☆1,027Nov 14, 2025Updated 4 months ago
- Image/Scene Classification for RemoteSensing Images;Officail Repo for the EarthNets Platform. https://arxiv.org/pdf/2210.04936.pdf☆15Oct 12, 2022Updated 3 years ago
- Different implementations of Bayesian neural networks for uncertainty estimation. The uncertainty estimation is utilized for efficient ex…☆10Nov 29, 2020Updated 5 years ago
- A simple way to calibrate your neural network.☆1,170Jul 26, 2025Updated 8 months ago
- Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analy…☆19Nov 10, 2021Updated 4 years ago
- Noah's master thesis on Quantum Bayesian Neural Networks☆13Aug 2, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆981Sep 25, 2023Updated 2 years ago
- ☆12Jun 13, 2023Updated 2 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- ☆26Jan 9, 2026Updated 3 months ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆79Oct 3, 2023Updated 2 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Mar 3, 2021Updated 5 years ago
- A modern cookiecutter template for deep learning projects with pytorch lightning that use uv for dependency management☆37Aug 10, 2025Updated 8 months ago