CuriousAI / ladder
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
☆517Updated 7 years ago
Alternatives and similar repositories for ladder:
Users that are interested in ladder are comparing it to the libraries listed below
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.☆242Updated 8 years ago
- Bringing up some extra Cosmo to Keras.☆378Updated 8 years ago
- Code for a convolutional autoencoder written on python, theano, lasagne, nolearn☆169Updated 7 years ago
- Implementation of a Variational Auto-Encoder in Theano☆380Updated 7 years ago
- One-shot Learning with Memory-Augmented Neural Networks☆420Updated 6 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆513Updated 10 years ago
- Deep Networks with Stochastic Depth☆478Updated 6 years ago
- Nano size Theano LSTM module☆303Updated 8 years ago
- Adversarially Learned Inference☆310Updated 6 years ago
- Random notes on papers, likely a short-term repo.☆673Updated 7 years ago
- Demonstration of recurrent neural network implemented with Theano☆376Updated 7 years ago
- Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm☆404Updated 5 years ago
- Deep Unsupervised Perceptual Grouping☆131Updated 4 years ago
- Tensorflow tutorial of building different dynamic recurrent neural network☆499Updated 6 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆154Updated 2 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Multi-GPU mini-framework for Theano☆195Updated 7 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 7 years ago
- Phased LSTM☆301Updated 3 years ago
- Slides and exercises for the Deep Learning Summer School 2015 programming tutorials☆389Updated 9 years ago
- Theano-based Alexnet☆229Updated 7 years ago
- auto-tuning momentum SGD optimizer☆286Updated 6 years ago
- Reimplementation of DRAW☆346Updated 8 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆378Updated 8 years ago
- Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/a…☆460Updated 8 years ago
- Extremely simple one-shot learning in Python☆182Updated 9 years ago
- Implementation of several different types of autoencoders☆116Updated 2 years ago
- ☆670Updated 6 years ago
- Modular Restricted Boltzmann Machine (RBM) implementation using Theano☆172Updated 12 years ago