el3ment / spectral_representations_for_convolutional_neural_networksLinks
☆41Updated 9 years ago
Alternatives and similar repositories for spectral_representations_for_convolutional_neural_networks
Users that are interested in spectral_representations_for_convolutional_neural_networks are comparing it to the libraries listed below
Sorting:
- ☆82Updated 7 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- ☆28Updated 5 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)☆38Updated 6 years ago
- TensorFlow implementation for Sparse Coding☆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 7 years ago
- Scattering Network for Matlab☆90Updated 6 years ago
- ☆57Updated 7 years ago
- ScatWave is a Torch implementation of scattering using CUDA☆21Updated 7 years ago
- Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching☆29Updated 8 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- Experiments with Group Equivariant Convolutional Networks☆120Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
- ☆123Updated 5 years ago
- Several implementations of the kernel-based activation functions☆62Updated 6 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- PixelVAE with or without regularization☆66Updated 8 years ago
- An interface between Torch and Matlab☆30Updated 10 years ago
- MMD and Relative MMD test☆31Updated 9 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Bring some LR schedulers from Keras to PyTorch.☆36Updated 8 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago