Generative Model For Image Generation
Repository contains code for artificial image generation using generative models, namely, Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tensorflow Vae Gan Draw | 569 | 7 years ago | 8 | apache-2.0 | Python | |||||
| A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation). | ||||||||||
| Tensorflow Multigpu Vae Gan | 399 | 5 years ago | 10 | mit | Jupyter Notebook | |||||
| A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations. | ||||||||||
| Pycadl | 355 | 1 | 4 years ago | 11 | March 06, 2018 | 4 | other | Python | ||
| Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow" | ||||||||||
| Ace | 42 | 2 years ago | Jupyter Notebook | |||||||
| Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019). | ||||||||||
| Vae Style Transfer | 30 | 5 years ago | 1 | Python | ||||||
| An experiment in VAE-based artistic style transfer by embedding fiddling. | ||||||||||
| Tensormonk | 20 | 3 years ago | 1 | mit | Python | |||||
| A collection of deep learning models (PyTorch implemtation) | ||||||||||
| Deep Learning.jl | 18 | 4 years ago | Jupyter Notebook | |||||||
| Introduction to deep learning using Flux.jl | ||||||||||
| Generative Model For Image Generation | 14 | 6 years ago | 1 | Python | ||||||
| Repository contains code for artificial image generation using generative models, namely, Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN). | ||||||||||
| Music Generation | 11 | 5 years ago | 2 | Python | ||||||
| Domain-Specific Music Generation using a deep LSTM and a VAE in Keras. | ||||||||||
| Network_anomaly_detection_deep_learning | 9 | 5 years ago | 8 | mit | Jupyter Notebook | |||||
| This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”. | ||||||||||
Alternatives To Generative Model For Image GenerationSelect To Compare
Alternative Project Comparisons
Popular Network Projects
Popular Vae Projects
Popular Networking Categories
Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Python
Network
Generative Adversarial Network
Generative Model
Vae
Image Generation