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190565

Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

automatic-target-classification-in-sar-images-using-convolutional-neural-networks

SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

crpm-net

PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain. https://arxiv.org/abs/1909.10783

cs-notes

😋 技术面试必备基础知识

cv-cnn

darknet

Convolutional Neural Networks

deep-convolutional-autoencoder

This is a tutorial on creating a deep convolutional autoencoder with tensorflow.

deep-learning-tricks

Enumerate diverse machine learning training tricks.

deeplearning-500-questions

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[email protected] 版权所有，违权必究 Tan 2018.06

detection-of-sar-image

Graduate product in SJTU. Implemented the program to detect target ship in SAR images

face_pca

This is a simple face recognition work based on PCA and SVM

gmn-generative-matching-network

paper：Deep Generative Matching Network for Optical and SAR Image Registration

google-tensorflow

The code and note of google tensorflow

matlab

SAR Imaging

ml-cv

机器学习实战

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

modal-autoencoder

The project proposed a new modal autoencoder with novel regularization method

mstar_tensorflow

Tensorflow Project to Classify MSTAR image chips

myairportssearchgrsl

a simple demo for paper 'Airport Detection in Large-Scale SAR Images via Line Segment Grouping and Saliency Analysis'

object-detection-from-sar-images-using-dcnn

py_cfar

Vessel Detection in Synthetic Aperture Radar(SAR) Images

pylearn2_cnn

Deep learning on SAR images

r3det_tensorflow

Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

ritsar

Synthetic Aperture Radar (SAR) Image Processing Toolbox for Python

rotationdetection

This is a tensorflow-based rotation detection benchmark, also called UranusDet.

sar

Autofocus and image processing algorithm for SAR imaging.

sar-image-recognition

This is a CNN for Polarimetric SAR Image Classification