veugene / spectre_releaseLinks
Analyzing deviation from orthogonality in RNNs
☆16Updated 8 years ago
Alternatives and similar repositories for spectre_release
Users that are interested in spectre_release are comparing it to the libraries listed below
Sorting:
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- RP-GAN: Stable GAN Training with Random Projections☆22Updated 7 years ago
- ☆34Updated 6 years ago
- An implementation of shampoo☆78Updated 7 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 9 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 8 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- ☆42Updated 6 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- ☆82Updated 8 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 7 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 3 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆63Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- ☆32Updated 7 years ago