el3ment / spectral_representations_for_convolutional_neural_networks
☆41Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for spectral_representations_for_convolutional_neural_networks
- Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)☆38Updated 5 years ago
- ☆81Updated 7 years ago
- ☆27Updated 4 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- TensorFlow implementation for Sparse Coding☆29Updated 5 years ago
- ScatNetLight for fast classifications of signals via Scattering Networks☆15Updated 7 years ago
- CUDA extension for the SPORCO project☆17Updated 3 years ago
- Sparse dictionary learning☆29Updated 10 years ago
- An interface between Torch and Matlab☆31Updated 9 years ago
- An unofficial Torch implementation of InfoGAN☆19Updated 7 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆57Updated 8 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 9 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- One Network to Solve Them All☆85Updated 6 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 4 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆85Updated 8 years ago
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Updated 7 years ago
- Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching☆28Updated 7 years ago
- ScatWave is a Torch implementation of scattering using CUDA☆21Updated 6 years ago
- Hessian Free Optimization with Tensorflow☆29Updated 6 years ago
- Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be u…☆50Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Structured Receptive Fields in Convolutional Neural Networks☆47Updated 6 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 7 years ago
- ☆58Updated 7 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 5 years ago