Advanced_Models
여러가지 유명한 신경망 모델들을 제공합니다.
제공 모델들 : DCGAN, CGAN, SA-GAN ,GAN, Resnet, VAE, Multi-Head Attention, GPT-2
VAE
해당 모델에 대한 개념의 정립이 필요하시면 아래 링크로 가세요~
https://blog.naver.com/jk96491/222177759271
GAN
해당 모델에 대한 개념의 정립이 필요하시면 아래 링크로 가세요~
jk96491 / Advanced_Models
Licence: other
여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)
Stars: ✭ 48
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Advanced Models
Generative-Model
Repository for implementation of generative models with Tensorflow 1.x
Stars: ✭ 66 (+37.5%)
Mutual labels: dcgan, vae, cgan
Tensorflow Generative Model Collections
Collection of generative models in Tensorflow
Stars: ✭ 3,785 (+7785.42%)
Mutual labels: vae, cgan
Deepnude An Image To Image Technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
Stars: ✭ 4,029 (+8293.75%)
Mutual labels: dcgan, vae
TensorMONK
A collection of deep learning models (PyTorch implemtation)
Stars: ✭ 21 (-56.25%)
Mutual labels: vae, sagan
dcgan vae pytorch
dcgan combined with vae in pytorch!
Stars: ✭ 110 (+129.17%)
Mutual labels: dcgan, vae
Pycadl
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (+641.67%)
Mutual labels: dcgan, vae
Pytorch-Basic-GANs
Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
Stars: ✭ 101 (+110.42%)
Mutual labels: dcgan, cgan
Deep Learning With Python
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (+179.17%)
Mutual labels: dcgan, vae
Pytorch cpp
Deep Learning sample programs using PyTorch in C++
Stars: ✭ 114 (+137.5%)
Mutual labels: dcgan, vae
Deeplearningmugenknock
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
Stars: ✭ 684 (+1325%)
Mutual labels: dcgan, vae
MXNet-GAN
MXNet Implementation of DCGAN, Conditional GAN, pix2pix
Stars: ✭ 23 (-52.08%)
Mutual labels: dcgan, cgan
Pytorch-conditional-GANs
Implementation of Conditional Generative Adversarial Networks in PyTorch
Stars: ✭ 91 (+89.58%)
Mutual labels: dcgan, cgan
emotion-recognition-GAN
This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Stars: ✭ 20 (-58.33%)
Mutual labels: dcgan
MMD-GAN
Improving MMD-GAN training with repulsive loss function
Stars: ✭ 82 (+70.83%)
Mutual labels: dcgan
ResNet-50-CBAM-PyTorch
Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
Stars: ✭ 31 (-35.42%)
Mutual labels: resnet-50
probabilistic nlg
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Stars: ✭ 28 (-41.67%)
Mutual labels: vae
molecular-VAE
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
Stars: ✭ 36 (-25%)
Mutual labels: vae
auto coding
A basic and simple tool for code auto completion
Stars: ✭ 42 (-12.5%)
Mutual labels: gpt-2
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].