cpmpercussion / keras-mdn-layerLinks
An MDN Layer for Keras using TensorFlow's distributions module
☆168Updated last year
Alternatives and similar repositories for keras-mdn-layer
Users that are interested in keras-mdn-layer are comparing it to the libraries listed below
Sorting:
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆356Updated 8 years ago
- Kalman Variational Auto-Encoder☆138Updated 6 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆66Updated 6 years ago
- Mixture Density Networks (MDN) implemented in PyTorch☆65Updated 5 years ago
- Mixture density network implemented in PyTorch.☆152Updated 2 years ago
- Variational Auto-Encoders in a Sequential Setting.☆177Updated 7 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- Mixture Density Networks for PyTorch☆222Updated last week
- An exploration of mixture density networks☆35Updated 8 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 4 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- A tutorial about Gaussian process regression☆192Updated 5 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆58Updated 5 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- ☆64Updated 7 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- Understanding normalizing flows☆132Updated 6 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Several implementations of the kernel-based activation functions☆63Updated 6 years ago
- ☆116Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆127Updated 4 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- Keras implementation of Legendre Memory Units☆214Updated 3 weeks ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago