A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
☆361Jun 30, 2017Updated 9 years ago
Alternatives and similar repositories for Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
Users that are interested in Mixture-Density-Networks-for-distribution-and-uncertainty-estimation 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 7 months ago
- Mixture density network implemented in PyTorch.☆154May 18, 2023Updated 3 years ago
- Implementation of mixture density network layer and objective function in Keras☆22Nov 3, 2016Updated 9 years ago
- Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians☆18Oct 27, 2019Updated 6 years ago
- Mixture Density Networks (MDN) implemented in PyTorch☆66May 31, 2020Updated 6 years 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.
- An exploration of mixture density networks☆36Nov 20, 2017Updated 8 years ago
- tutorial notebooks☆393Apr 5, 2018Updated 8 years ago
- LSTM + MDN for basketball trajectories☆147Mar 11, 2018Updated 8 years ago
- This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly…☆52Apr 6, 2021Updated 5 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Sep 12, 2017Updated 8 years ago
- ☆208Jul 22, 2018Updated 7 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Dec 18, 2016Updated 9 years ago
- Generative Handwriting using LSTM Mixture Density Network with TensorFlow☆703Feb 10, 2018Updated 8 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- 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.
- A Mixture Density RNN for generating musical touchscreen interactions.☆14Mar 25, 2023Updated 3 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 6 years ago
- This repo is an open source of paper : Applying bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction.☆26Mar 14, 2020Updated 6 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆141Jan 15, 2018Updated 8 years ago
- A Mixture Density Layer for Keras☆10Nov 19, 2017Updated 8 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Mar 31, 2017Updated 9 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Jan 5, 2017Updated 9 years ago
- This demo shows how to learn a neural network on top of decision trees☆32May 15, 2017Updated 9 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆161Jul 23, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64May 27, 2016Updated 10 years ago
- Character-level Neural Translation using Quasi-RNNs☆133Jan 27, 2018Updated 8 years ago
- Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382☆139Jul 21, 2020Updated 6 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 years ago
- an implementation of reinforcement learning problem, stock prices☆10Dec 26, 2016Updated 9 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆44Jun 7, 2021Updated 5 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Oct 17, 2017Updated 8 years ago
- Repo for the EACL2017 tutorial on imitation learning☆28Apr 3, 2017Updated 9 years ago
- Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow☆814Oct 25, 2018Updated 7 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.
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Jun 7, 2018Updated 8 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,899Jul 10, 2026Updated last week
- Gaussian processes in TensorFlow☆1,911Jun 16, 2026Updated last month
- ☆13Oct 12, 2020Updated 5 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆583Feb 26, 2022Updated 4 years ago
- ☆13Jul 3, 2016Updated 10 years ago