| shobrook/sequitur |
370 |
|
0 |
0 |
over 2 years ago |
9 |
January 28, 2021 |
8 |
mit |
Python |
| Library of autoencoders for sequential data |
| tejaslodaya/timeseries-clustering-vae |
366 |
|
0 |
0 |
almost 3 years ago |
0 |
|
9 |
gpl-3.0 |
Python |
| Variational Recurrent Autoencoder for timeseries clustering in pytorch |
| MishaLaskin/vqvae |
240 |
|
0 |
0 |
over 3 years ago |
0 |
|
6 |
|
Jupyter Notebook |
| A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937) |
| hwalsuklee/tensorflow-mnist-CVAE |
134 |
|
0 |
0 |
almost 9 years ago |
0 |
|
2 |
|
Python |
| Tensorflow implementation of conditional variational auto-encoder for MNIST |
| OliverEdholm/Image-Retrieval |
52 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Python |
| Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder. |
| micheletufano/AutoenCODE |
40 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Matlab |
| AutoenCODE is a Deep Learning infrastructure that allows to encode source code fragments into vector representations, which can be used to learn similarities. |
| ml-hongkong/stock2vec |
26 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history |
| marisancans/frame-predict-VAE-LSTM |
23 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
|
Python |
| Predicting image frames using autoencoder and LSTM |
| tca19/near-lossless-binarization |
22 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
gpl-3.0 |
C |
| This repository contains source code to binarize any real-value word embeddings into binary vectors. |
| shuuchen/video_autoencoder |
15 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf |
