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Models and examples built with TensorFlow
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
PyTorch implementations of Generative Adversarial Networks.
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Code and hyperparameters for the paper "Generative Adversarial Networks"
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Image Completion with Deep Learning in TensorFlow
ObsPy: A Python Toolbox for seismology/seismological observatories.
GANs with spectral normalization and projection discriminator
Keras implementation of Deep Convolutional Generative Adversarial Networks
CondenseNet: Light weighted CNN for mobile devices
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
2018腾讯广告算法大赛baseline 线上0.73
ShuffleNet-V2 for both PyTorch and Caffe.
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)
The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.
Bag of really useful geoscience equations and stuff
pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017
[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)