ToniCreswell / ConvolutionalAutoEncoderLinks
A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example
☆20Updated 3 years ago
Alternatives and similar repositories for ConvolutionalAutoEncoder
Users that are interested in ConvolutionalAutoEncoder are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆61Updated 14 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 9 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago
- Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…☆36Updated 11 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 …☆52Updated 8 years ago
- An exploration of mixture density networks☆35Updated 8 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- ☆51Updated 10 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 8 years ago
- Stacked Denoising AutoEncoder based on TensorFlow☆23Updated 6 years ago
- Wasserstein / earth mover's distance visualizations☆66Updated 8 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- A short Conditional DCGAN tensorflow implementation.☆24Updated 8 years ago
- ☆89Updated 7 years ago
- ☆27Updated 8 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 8 years ago
- Tensorflow implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"☆48Updated 8 years ago
- Stochastic Gradient Descent☆18Updated 12 years ago
- Collection of autoencoders written in Keras☆37Updated 9 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- A Convolutional Neural Network based model for Unsupervised Learning☆33Updated 8 years ago
- ☆29Updated 8 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 8 years ago
- Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…☆36Updated 9 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 9 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 7 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆55Updated 9 years ago