cpmpercussion / keras-mdn-layer
An MDN Layer for Keras using TensorFlow's distributions module
☆168Updated 8 months ago
Alternatives and similar repositories for keras-mdn-layer:
Users that are interested in keras-mdn-layer are comparing it to the libraries listed below
- Mixture Density Networks (MDN) implemented in PyTorch☆66Updated 4 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆349Updated 7 years ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- Mixture density network implemented in PyTorch.☆142Updated last year
- Package implementing various parametric and nonparametric methods for conditional density estimation☆195Updated 2 years ago
- Implementation of soft dynamic time warping in pytorch☆100Updated 3 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 8 months ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 4 years ago
- ☆64Updated 6 years ago
- Mixture Density Networks for PyTorch☆219Updated 2 months ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆196Updated 2 years ago
- An exploration of mixture density networks☆34Updated 7 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆65Updated 6 years ago
- A tutorial about Gaussian process regression☆187Updated 4 years ago
- Variational Auto-Encoders in a Sequential Setting.☆175Updated 7 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆92Updated 3 weeks ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆68Updated 4 years ago
- tutorial notebooks☆387Updated 7 years ago
- Python library for Recurrent Gaussian Processes☆19Updated 7 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 8 months ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆218Updated 6 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆285Updated 3 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 6 months ago
- Deep Gaussian Processes in Python☆233Updated 3 years ago
- Keras implementation of Legendre Memory Units☆213Updated 2 weeks ago
- Bayesian Gaussian mixture models in Python.☆63Updated last year