Cerenaut / sparse-unsupervised-capsulesLinks
Sparse unsupervised capsules
☆23Updated 6 years ago
Alternatives and similar repositories for sparse-unsupervised-capsules
Users that are interested in sparse-unsupervised-capsules are comparing it to the libraries listed below
Sorting:
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- TBA☆75Updated 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
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆68Updated 11 years ago
- ☆32Updated 6 years ago
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- ☆61Updated 2 years ago
- ☆45Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- ☆26Updated 6 years ago
- ☆13Updated 4 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 7 years ago
- RP-GAN: Stable GAN Training with Random Projections☆22Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 7 years ago
- ☆81Updated 7 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 2 years ago
- The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.☆45Updated 2 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- ☆32Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Deprecated repository for "Deep Learning with Topological Signatures"☆36Updated 5 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago