Learning error bars for neural network predictions
☆72Jan 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 5 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
- 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☆15Oct 28, 2018Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Code for the AAAI 2012 Manifold Warping paper: http://people.cs.umass.edu/~ccarey/pubs/ManifoldWarping.pdf☆20Mar 9, 2018Updated 8 years ago
- Ultrahyperbolic Representation Learning☆13Jul 5, 2020Updated 5 years ago
- Multivariate Gaussian distributions for Tensorflow.☆23Jan 29, 2020Updated 6 years ago
- ☆11May 9, 2022Updated 3 years ago
- code and data for the paper `Kernel Manifold Alignment for domain adaptation'☆19Jan 25, 2016Updated 10 years ago
- The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Bui…☆19Aug 4, 2022Updated 3 years ago
- Co-evolution of agents and environments in GVG-AI☆17Aug 12, 2021Updated 4 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆68Jul 11, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementations of Quantile Regression☆28Jul 16, 2018Updated 7 years ago
- Uncertainty estimation for anchor-based deep object detectors.☆40Nov 24, 2020Updated 5 years ago
- ROS integration for Franka Emika research robots in Cognitive Robotics TU Delft☆10Jan 18, 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
- ☆12Jan 6, 2023Updated 3 years ago
- Probabilistic Forecasting with Temporal Convolutional Neural Network☆11Nov 7, 2019Updated 6 years ago
- A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.☆11Mar 15, 2019Updated 7 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
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,570Mar 24, 2026Updated last month
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆34Jan 20, 2022Updated 4 years ago
- "Learning Stable Classifiers by Transferring Unstable Features" ICML 2022☆14Jul 24, 2022Updated 3 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆35Jun 21, 2024Updated last year
- A nonlinear MPC (NMPC) library for using a neural network as model.☆10Jul 30, 2024Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Aug 31, 2020Updated 5 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Get the url for a youtube video's subtitles.☆10Mar 23, 2018Updated 8 years ago
- Randomized Value Functions via Multiplicative Normalizing Flows☆17Jan 1, 2023Updated 3 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.
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Feb 24, 2016Updated 10 years ago
- The state-of-art deep rl algorithms for Montezuma's revenge☆28Oct 28, 2018Updated 7 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆117Oct 22, 2020Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Jun 7, 2022Updated 3 years ago
- Repository for experiments with TensorFlow☆11Nov 25, 2015Updated 10 years ago
- Tutorials on how to use EAGERx☆16Aug 14, 2025Updated 8 months ago
- 3rd placed submission to the NeurIPS MineRL competition 2019☆10Mar 24, 2023Updated 3 years ago