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📡 Simple and ready-to-use tutorials for TensorFlow
一个具有划词翻译功能的跨平台pdf阅读器,用着挺好用开源一下造福众科研人员,欢迎star
Pytorch implement: Residual Dense Network for Image Super-Resolution
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Fast Geographically Weighted Regression (FastGWR)
andytung2019 / Mask_RCNN
Forked from matterport/Mask_RCNNMask R-CNN for object detection and instance segmentation on Keras and TensorFlow
UPCSJT / yolo_tensorflow-1
Forked from hizhangp/yolo_tensorflowTensorflow implementation of YOLO, including training and test phase.
tensorflow implementation of 'YOLO : Real-Time Object Detection'
Classification in Remote Sensing Optical Images by CNNs
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
AlgorithmsTest is Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne,算法第四版书中代码以及后面的习题,AlgorithmsExercise是一些牛客网上的题目,AlgorithmsReplenish是一些算法的补充