jacklgs Goto Github PK
Name: jacklgs
Type: User
jacklgs's Projects
csgm
Code to reproduce results from the paper: "Compressed Sensing using Generative Models".
csnet-pytorch
Pytorch code for paper "Deep Networks for Compressed Image Sensing" and "Image Compressed Sensing Using Convolutional Neural Network"
dagan
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
end_to_end_compression_cnn
Recreation of "An End-to-End Compression Framework Based on Convolutional Neural Networks" using Pytorch
fish-classfication-using-transfer-learning-of-pre-trained-models
learn
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
hello-world
:smiley: 这是我的第一个github仓库
ista-net-pytorch
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
jacklgs
Config files for my GitHub profile.
pytorch_tutorial
《Pytorch模型训练实用教程》中配套代码
tensorflow-mnist-vae
Tensorflow implementation of variational auto-encoder for MNIST
vae
Repository containing experimental code for Variational Autoencoders
variational-autoencoders
Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2
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