kylemcdonald / Parametric-t-SNE
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
☆265Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Parametric-t-SNE
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆144Updated last year
- Keras autoencoders (convolutional/fcc) [proof of concept]☆174Updated 5 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆376Updated 7 years ago
- Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of s…☆221Updated 7 years ago
- Tools for loading standard data sets in machine learning☆202Updated 2 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆228Updated 7 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆155Updated 7 years ago
- Implementation of a Variational Auto-Encoder in Theano☆378Updated 7 years ago
- Extra batteries for Keras☆257Updated 6 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 6 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆145Updated 4 years ago
- Extra Layers for Keras to connect CNN with RNN☆154Updated 8 years ago
- Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…☆216Updated 6 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆257Updated 6 years ago
- Bringing up some extra Cosmo to Keras.☆378Updated 7 years ago
- Batch Renormalization algorithm implementation in Keras☆98Updated 5 years ago
- An implementation of the Neural Turing Machine as a keras recurrent layer.☆139Updated 7 years ago
- Adversarially Learned Inference☆311Updated 6 years ago
- Auxiliary Classifier Generative Adversarial Networks in Keras☆213Updated 6 years ago
- Code for a convolutional autoencoder written on python, theano, lasagne, nolearn☆168Updated 7 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆153Updated last year
- Torch implementations of various types of autoencoders☆469Updated 7 years ago
- Deep Embedding Clustering in Keras☆130Updated 7 years ago
- Collection of autoencoders written in Keras☆37Updated 8 years ago
- Implementation of several different types of autoencoders☆116Updated 2 years ago
- A couple of simple GANs in Keras☆501Updated 6 years ago
- Keras integration with TQDM progress bars☆348Updated 3 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆247Updated 3 months ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 6 years ago