zhaoqike's repositories
img-seg-net
Image segmentation using a fully convolutional network
MachineLearning
A collection of Python code and machine learning exercises
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-NAS
A curated list of neural architecture search (NAS) resources.
awesome-semantic-segmentation
awesome-semantic-segmentation
Boost-for-Android
Android port of Boost C++ Libraries
chinese-book
《深度学习：一起玩转TensorLayer》
cityscapesScripts
README and scripts for the Cityscapes Dataset
deepin-wine
deepin-wine环境与应用在Mint/Ubuntu/Debian上的移植仓库
deeply-recursive-cnn-tf
Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
EDSR-Tensorflow
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
EDSRGAN-Tensorflow
Implementation of EDSR with GAN
LapSRN-tensorflow
Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"
machine-learning-uiuc
🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
neural-enhance
Super Resolution for images using deep learning.
Neural-Style-Transfer-Papers
:pencil2: Neural Style Transfer: A Review
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
pytorch-vdsr
VDSR (CVPR2016) pytorch implementation
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
spinningup
An educational resource to help anyone learn deep reinforcement learning.
VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.