Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Gan Compression | 1,063 | 7 months ago | 9 | other | Python | |||||
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs | ||||||||||
Generative Compression | 397 | 4 years ago | 15 | mit | Python | |||||
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression | ||||||||||
High Fidelity Generative Compression | 252 | 2 years ago | 12 | apache-2.0 | Python | |||||
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression | ||||||||||
Agd | 102 | 2 years ago | mit | Python | ||||||
[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang | ||||||||||
Gan Slimming | 51 | 3 years ago | 3 | mit | Python | |||||
[ECCV 2020] "All-in-One GAN Compression by Unified Optimization" by Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, and Zhangyang Wang | ||||||||||
Accv_tinygan | 44 | 3 years ago | Jupyter Notebook | |||||||
BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression | ||||||||||
Fidelity_controllable_compression | 19 | 2 years ago | 1 | mit | Python | |||||
Official PyTorch Implementation of Fidelity Controllable Extreme Image Compression with GAN | ||||||||||
Ml Assignments | 16 | 4 years ago | Jupyter Notebook | |||||||
ML assignments, about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning. It will be challenging but cheerful work! | ||||||||||
Neural Networks For Image Compression | 9 | 7 years ago | Jupyter Notebook | |||||||
Image compression using neural networks | ||||||||||
Gan Compression | 8 | 5 years ago | 1 | Python | ||||||
This repository contains the source for the paper "Analysing Image Compression using Generative Adversarial Networks" |