☆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.☆1,576Jun 5, 2026Updated last week
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆813May 14, 2026Updated 3 weeks ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆521Jan 2, 2024Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆276Mar 17, 2022Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years 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☆30Mar 16, 2023Updated 3 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆640Aug 1, 2022Updated 3 years ago
- NumPy library for calibration metrics☆76Apr 27, 2026Updated last month
- ☆17Jun 18, 2024Updated last year
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆10Apr 13, 2023Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆506Jun 3, 2026Updated last week
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆583Feb 26, 2022Updated 4 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆11Jan 5, 2026Updated 5 months ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- PyTorch implementation of bayesian neural network [torchbnn]☆559Jul 25, 2024Updated last year
- Tutorial on Generative Modeling: Interacting with Deep Generative Models for Content Creation☆21Oct 29, 2020Updated 5 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆524Aug 31, 2021Updated 4 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
- ☆18Sep 12, 2025Updated 8 months ago
- Message Passing Neural Networks for Molecule Property Prediction☆12Jan 17, 2020Updated 6 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,968Oct 20, 2023Updated 2 years ago
- ☆16Mar 23, 2021Updated 5 years ago
- Implementation of multi-output conformal regression methods☆13Sep 23, 2025Updated 8 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Python library for classifier calibration☆20May 3, 2024Updated 2 years ago
- Code/Report/Image Plagiarism finder☆11Apr 1, 2025Updated last year
- Reproducible code for Augmentation paper☆17Jan 23, 2019Updated 7 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆160Jul 23, 2022Updated 3 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25May 1, 2019Updated 7 years ago
- A simple way to calibrate your neural network.☆1,173Jul 26, 2025Updated 10 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
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆981Sep 25, 2023Updated 2 years ago
- How certain is your transformer?☆25Apr 25, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆17Mar 29, 2023Updated 3 years ago
- An introduction to conformal prediction☆27Jan 31, 2024Updated 2 years ago
- ☆26Jan 9, 2026Updated 5 months ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆79Oct 3, 2023Updated 2 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Nov 16, 2020Updated 5 years ago
- Unified Bayesian Estimator of EEG Reference at Infinity: rREST (Regularized Reference Electrode Standardization Technique)☆12Jun 27, 2022Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Nov 25, 2024Updated last year