emsansone / GANLinks
Tutorial on GANs
☆13Updated 5 years ago
Alternatives and similar repositories for GAN
Users that are interested in GAN are comparing it to the libraries listed below
Sorting:
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- ☆92Updated 8 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- ☆29Updated 8 years ago
- Forward Thinking NIPS 2017☆107Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- All of my deep learning work in one big repo.☆12Updated 8 years ago
- ☆82Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Code for Attentive Recurrent Comparators☆58Updated 8 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- PixelVAE with or without regularization☆69Updated 8 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- The versatility of Python enlightened by Torch to seize Deep Learning☆129Updated 7 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- Some of my experiments targeting adversarial instances☆12Updated 8 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- DrMAD☆107Updated 8 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- ☆114Updated last year
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- ☆69Updated 6 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 4 years ago