jcklie / keras-autoencoder
Collection of autoencoders written in Keras
☆37Updated 8 years ago
Related projects: ⓘ
- Implementation of several different types of autoencoders☆116Updated 2 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆80Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆153Updated last year
- Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU☆48Updated 2 years ago
- chainer catgan☆16Updated 7 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 6 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 7 years ago
- Forward Thinking NIPS 2017☆106Updated 6 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- Residual network block in Keras☆72Updated 7 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆19Updated 7 years ago
- Keras autoencoders (convolutional/fcc) [proof of concept]☆174Updated 4 years ago
- Deep generative models for semi-supervised learning.☆109Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 6 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 8 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 7 years ago
- Extra Layers for Keras to connect CNN with RNN☆154Updated 8 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆43Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆69Updated 5 years ago
- Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.☆83Updated 4 years ago
- Adversarial AutoEncoder implemented with MXNet☆25Updated 6 years ago
- Code for a convolutional autoencoder written on python, theano, lasagne, nolearn☆168Updated 7 years ago
- Examples of using GridLSTM (and GridRNN in general) in tensorflow☆64Updated 7 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆258Updated 6 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)☆104Updated 5 years ago
- Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆55Updated 6 years ago