rinuboney / ladderLinks
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
☆242Updated 8 years ago
Alternatives and similar repositories for ladder
Users that are interested in ladder are comparing it to the libraries listed below
Sorting:
- Code for a convolutional autoencoder written on python, theano, lasagne, nolearn☆170Updated 7 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆517Updated 7 years ago
- Bringing up some extra Cosmo to Keras.☆378Updated 8 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Adversarially Learned Inference☆311Updated 6 years ago
- Generative Adversarial Networks with Keras☆156Updated 4 years ago
- Implementation of a Variational Auto-Encoder in Theano☆380Updated 8 years ago
- Tutorials for deep learning☆253Updated 7 years ago
- ☆137Updated 7 years ago
- Phased LSTM☆300Updated 4 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆229Updated 7 years ago
- Extra Layers for Keras to connect CNN with RNN☆154Updated 9 years ago
- Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow☆202Updated 5 years ago
- Extremely simple one-shot learning in Python☆183Updated 9 years ago
- Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf☆187Updated 9 years ago
- One-shot Learning with Memory-Augmented Neural Networks☆421Updated 6 years ago
- Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)☆172Updated 8 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆154Updated 2 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆269Updated 6 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016☆223Updated 8 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 7 years ago
- Deep Unsupervised Perceptual Grouping☆131Updated 4 years ago
- Keras autoencoders (convolutional/fcc) [proof of concept]☆175Updated 5 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆132Updated 7 years ago
- Tutorial for Visual Turing Test (visual question answering, image question answering).☆117Updated 8 years ago
- Unrolled Generative Adversarial Networks☆293Updated 7 years ago