| wubinzzu/NeuRec |
861 |
|
0 |
0 |
over 4 years ago |
1 |
November 04, 2019 |
15 |
|
Python |
| Next RecSys Library |
| hoangcuong2011/Good-Papers |
231 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
|
|
| I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers |
| florencejt/fusilli |
120 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
agpl-3.0 |
Python |
| A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸 |
| kefirski/contiguous-succotash |
70 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
mit |
Python |
| Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch |
| YeongHyeon/CVAE-AnomalyDetection-PyTorch |
34 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE) |
| zotroneneis/tensorflow_deep_learning_models |
23 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...) |
| vliu15/3d-brain-tumor-segmentation |
19 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Volumetric MRI brain tumor segmentation using autoencoder regularization |
| mithi/deep-blueberry |
14 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
|
| If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place! |
| hngskj/Font-VAE |
12 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Python |
| Analysis of font shape using Variational Autoencoder with Convnets |
| rogertrullo/Bayesian-Methods-for-Machine-Learning |
8 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Bayesian Methods for Machine Learning |
