edouardoyallon / scatwave
ScatWave is a Torch implementation of scattering using CUDA
☆21Updated 7 years ago
Alternatives and similar repositories for scatwave:
Users that are interested in scatwave are comparing it to the libraries listed below
- ☆81Updated 7 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 auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- [adversarial] examples and training cost☆19Updated 8 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- ACDC: A Structured Efficient Linear Layer☆43Updated 9 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Recurrent modules for Torch☆27Updated 8 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- ☆31Updated 7 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- From Pixels to Torques: Policy Learning using Deep Dynamical Convolutional Neural Networks (DDCNN)☆42Updated 8 years ago
- unitary matrix for hidden to hidden layer☆75Updated 7 years ago
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Updated 10 years ago
- (Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network☆14Updated 9 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆100Updated 8 years ago
- ScatNetLight for fast classifications of signals via Scattering Networks☆15Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- An interface between Torch and Matlab☆30Updated 9 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆91Updated 8 years ago
- Learning RNN Hierarchies☆44Updated 8 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago