| PacktPublishing/Advanced-Deep-Learning-with-Keras |
1,534 |
|
0 |
0 |
about 3 years ago |
0 |
|
3 |
mit |
Python |
| Advanced Deep Learning with Keras, published by Packt |
| aspuru-guzik-group/chemical_vae |
383 |
|
0 |
0 |
over 3 years ago |
0 |
|
36 |
apache-2.0 |
Python |
| Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow |
| hwalsuklee/awesome-deep-vision-web-demo |
285 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
|
| A curated list of awesome deep vision web demo |
| sisinflab/elliot |
248 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
apache-2.0 |
Python |
| Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation |
| snatch59/keras-autoencoders |
90 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Autoencoders in Keras |
| Toni-Antonova/VAE-Text-Generation |
88 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Text Generation Using A Variational Autoencoder |
| chaitanya100100/VAE-for-Image-Generation |
75 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets |
| paulx3/keras_generative_pg |
73 |
|
0 |
0 |
over 8 years ago |
0 |
|
7 |
|
Python |
| A Deep Generative Framework for Paraphrase Generation Implementaion |
| Frightera/TensorFlow-2.X-Ogretici-Notebooklar-Turkce |
72 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| TensorFlow 2.X hakkında (Türkçe) öğretici notebooklar paylaşıyorum. Repoyu yararlı bulursanız yıldızlayarak destek olabilirsiniz :) |
| AlexanderVNikitin/tsgm |
60 |
|
0 |
0 |
over 2 years ago |
3 |
September 28, 2023 |
9 |
apache-2.0 |
Python |
| Generative modeling of synthetic time series data and time series augmentations |
