Learning error bars for neural network predictions
☆75Jan 9, 2020Updated 6 years ago
Alternatives and similar repositories for SingleModelUncertainty
Users that are interested in SingleModelUncertainty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 6 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'☆94Apr 9, 2020Updated 6 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Sep 25, 2020Updated 6 years ago
- ☆11Jun 4, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Python Climate Time Series package☆11Nov 15, 2022Updated 3 years ago
- An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods - EWRL Workshop 2018☆16Oct 28, 2018Updated 7 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- ☆18Updated this week
- Pytorch package for geometric softmax☆13Jun 13, 2019Updated 7 years ago
- A nonlinear MPC (NMPC) library for using a neural network as model.☆10Jul 30, 2024Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆641Aug 1, 2022Updated 4 years ago
- pyhessian is a TensorFlow module which can be used to estimate Hessian matrices☆25Mar 26, 2021Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Oct 9, 2017Updated 9 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.
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆23Jun 19, 2024Updated 2 years ago
- Probabilistic Forecasting with Temporal Convolutional Neural Network☆11Nov 7, 2019Updated 6 years ago
- Supporting tools for PyTorch in biology research.☆19Mar 10, 2022Updated 4 years ago
- Code of the paper "Interactive Learning of Temporal Feature for Control", published in the IEEE Robotics & Automation Magazine.☆12Dec 27, 2022Updated 3 years ago
- A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.☆11Mar 15, 2019Updated 7 years ago
- "Learning Stable Classifiers by Transferring Unstable Features" ICML 2022☆14Jul 24, 2022Updated 4 years ago
- SVGD implementation☆12Jul 23, 2018Updated 8 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆582Feb 26, 2022Updated 4 years ago
- MATLAB code for ECML 2018 paper on "Unified Framework for Domain Adaptation using Metric Learning on Manifolds"☆10Oct 14, 2018Updated 8 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.
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Aug 31, 2020Updated 6 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago
- Pydata MAB Tutorial☆10Jul 6, 2018Updated 8 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Feb 23, 2020Updated 6 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Feb 24, 2016Updated 10 years ago
- ☆68Dec 20, 2019Updated 6 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- ☆11Oct 25, 2020Updated 5 years ago
- [BMVC 2022] MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks☆35Jun 21, 2024Updated 2 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.
- Repository for experiments with TensorFlow☆11Nov 25, 2015Updated 10 years ago
- [deprecated] Engine Agnostic Gym Environment for Robotics☆17Feb 10, 2022Updated 4 years ago
- ☆12Jul 25, 2024Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- SOGo version 4 groupware in Docker. Run your own calendar, webmail, contacts with this container image.☆15Jun 24, 2018Updated 8 years ago
- This is a standalone version of ASMO, a surrogate based single objective optimization algorithm.☆11Oct 6, 2018Updated 8 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆117Oct 22, 2020Updated 5 years ago