axelbrando / Mixture-Density-Networks-for-distribution-and-uncertainty-estimationView external linksLinks
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
☆357Jun 30, 2017Updated 8 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
Sorting:
- An MDN Layer for Keras using TensorFlow's distributions module☆168Updated this week
- Mixture density network implemented in PyTorch.☆152May 18, 2023Updated 2 years ago
- Mixture Density Networks for PyTorch☆223Dec 9, 2025Updated 2 months ago
- Mixture Density Networks (MDN) implemented in PyTorch☆65May 31, 2020Updated 5 years ago
- Implementation of mixture density network layer and objective function in Keras☆22Nov 3, 2016Updated 9 years ago
- tutorial notebooks☆392Apr 5, 2018Updated 7 years ago
- LSTM + MDN for basketball trajectories☆146Mar 11, 2018Updated 7 years ago
- An exploration of mixture density networks☆36Nov 20, 2017Updated 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 4 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
- Kernel Mixture Network implementation with some minor tweaks☆45Sep 12, 2017Updated 8 years ago
- ☆209Jul 22, 2018Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- A Mixture Density RNN for generating musical touchscreen interactions.☆13Mar 25, 2023Updated 2 years ago
- Generative Handwriting using LSTM Mixture Density Network with TensorFlow☆704Feb 10, 2018Updated 8 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64May 27, 2016Updated 9 years ago
- Repo for the EACL2017 tutorial on imitation learning☆28Apr 3, 2017Updated 8 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Nov 9, 2016Updated 9 years ago
- Flexible Bayesian inference using TensorFlow☆142Feb 20, 2017Updated 8 years ago
- This demo shows how to learn a neural network on top of decision trees☆32May 15, 2017Updated 8 years ago
- Character-level Neural Translation using Quasi-RNNs☆135Jan 27, 2018Updated 8 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Mar 31, 2017Updated 8 years ago
- Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382☆139Jul 21, 2020Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 14, 2019Updated 6 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Jan 5, 2017Updated 9 years ago
- An Implementation of 'Texture Synthesis Using Convolutional Neural Networks' with Kylberg Texture Dataset☆34Dec 12, 2016Updated 9 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Jun 7, 2018Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 5 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 3 years ago
- This repo is an open source of paper : Applying bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction.☆26Mar 14, 2020Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)☆521Sep 15, 2019Updated 6 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆140Jan 15, 2018Updated 8 years ago
- Parameter Importance Analysis Tool☆77Mar 26, 2021Updated 4 years ago
- CNN based superresolution implemented with chainer☆10Dec 30, 2015Updated 10 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Jul 23, 2022Updated 3 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Jun 7, 2021Updated 4 years ago
- Wrapper around MLForecast for more plug and play forecasting☆10Oct 23, 2023Updated 2 years ago