tomas-angles / generative-scattering-networksLinks
☆29Updated 6 years ago
Alternatives and similar repositories for generative-scattering-networks
Users that are interested in generative-scattering-networks are comparing it to the libraries listed below
Sorting:
- Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)☆38Updated 6 years ago
- ☆41Updated 9 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Unofficial complex tensor and scalar support for Pytorch☆80Updated 3 years ago
- ☆82Updated 8 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆74Updated 4 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 8 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- ☆17Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆92Updated 7 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- ☆42Updated 6 years ago
- ☆29Updated 4 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 4 years ago
- Several implementations of the kernel-based activation functions☆63Updated 6 years ago
- A discrete sequential VAE☆41Updated 5 years ago
- ☆32Updated 7 years ago
- The Singular Values of Convolutional Layers☆72Updated 7 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆21Updated last year
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆70Updated 6 years ago
- complex tensor plugin for pytorch (deprecated)☆47Updated 6 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- examples of Neural Autoregressive Flows☆13Updated 7 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago