edouardoyallon / scatwave
ScatWave is a Torch implementation of scattering using CUDA
☆21Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for scatwave
- ☆81Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 7 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- RP-GAN: Stable GAN Training with Random Projections☆20Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆67Updated 10 years ago
- ScatNetLight for fast classifications of signals via Scattering Networks☆15Updated 7 years ago
- Bidirectional Helmholtz Machines☆41Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆45Updated 6 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 8 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆55Updated 7 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 4 years ago
- ☆31Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆84Updated 7 years ago