Mixture density network implemented in PyTorch.
☆154May 18, 2023Updated 3 years ago
Alternatives and similar repositories for mixture-density-network
Users that are interested in mixture-density-network are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Mixture Density Networks for PyTorch☆225Dec 9, 2025Updated 10 months ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆362Jun 30, 2017Updated 9 years ago
- Mixture Density Networks (MDN) implemented in PyTorch☆66May 31, 2020Updated 6 years ago
- Implementation of Flexible Conditional Density Estimator☆27May 8, 2026Updated 5 months ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆28Jul 30, 2022Updated 4 years ago
- 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.
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Feb 1, 2023Updated 3 years ago
- On Information-Theoretic Measures of Predictive Uncertainty☆12Oct 15, 2024Updated 2 years ago
- tutorial notebooks☆393Apr 5, 2018Updated 8 years ago
- ☆14Nov 16, 2024Updated last year
- Implementation of Relaxed Lasso Algorithm for Linear Regression.☆13Nov 15, 2021Updated 4 years ago
- Toolkit to forge scikit-learn compatible estimators☆19Oct 1, 2026Updated 3 weeks ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆19Jul 8, 2024Updated 2 years ago
- The implementation of the fast algorithm for computation of the Solar Zenith Angle (aka SZA) and Solar Azimut Angle (aka SAA) based on th…☆16Jun 19, 2020Updated 6 years ago
- Orthogonal Quantile Regression☆12Oct 21, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhay…☆38Mar 12, 2023Updated 3 years ago
- Official Project Webpage for paper "DiffSRL: Learning Dynamic-aware State Representation for Control via Differentiable Simulation"☆13Apr 4, 2022Updated 4 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆54Mar 31, 2022Updated 4 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆23Oct 18, 2023Updated 3 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Oct 23, 2022Updated 4 years ago
- An Integrated Research Suite for Building Open-Ended Embodied Agents in Crafter☆15Oct 11, 2026Updated 2 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Apr 29, 2020Updated 6 years ago
- Random Forests for Conditional Density Estimation☆44Jun 10, 2021Updated 5 years ago
- Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021☆15Jun 1, 2021Updated 5 years ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆26Mar 21, 2025Updated last year
- NRPyPN: Validated Post-Newtonian Expressions for Numerical Relativity☆12Oct 19, 2026Updated last week
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Oct 3, 2023Updated 3 years ago
- Python and torch-based package implementing various parametric and nonparametric methods for conditional density estimation☆203Dec 27, 2025Updated 10 months ago
- ☆11Feb 5, 2025Updated last year
- Conformal Locally Valid interval-Estimates for Regression☆17Sep 27, 2024Updated 2 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.
- ☆10Apr 2, 2018Updated 8 years ago
- PyTorch implementation of the original evidental-deep-learning@https://github.com/aamini/evidential-deep-learning/☆13Sep 20, 2021Updated 5 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- ☆41Feb 11, 2021Updated 5 years ago
- ☆15Nov 15, 2017Updated 8 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Apr 11, 2021Updated 5 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year