Pinned Repositories
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.
BUAATJWX's Repositories
BUAATJWX/190565
Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)
BUAATJWX/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.
BUAATJWX/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
BUAATJWX/CRPM-Net
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain. https://arxiv.org/abs/1909.10783
BUAATJWX/CS-Notes
😋 技术面试必备基础知识
BUAATJWX/CV-CNN
BUAATJWX/darknet
Convolutional Neural Networks
BUAATJWX/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
BUAATJWX/face_pca
This is a simple face recognition work based on PCA and SVM
BUAATJWX/GMN-Generative-Matching-Network
paper：Deep Generative Matching Network for Optical and SAR Image Registration
BUAATJWX/Google-Tensorflow
The code and note of google tensorflow
BUAATJWX/ML-CV
机器学习实战
BUAATJWX/ml-visuals
Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
BUAATJWX/mmdetection
OpenMMLab Detection Toolbox and Benchmark
BUAATJWX/Modal-AutoEncoder
The project proposed a new modal autoencoder with novel regularization method
BUAATJWX/MyAirportsSearchGRSL
a simple demo for paper 'Airport Detection in Large-Scale SAR Images via Line Segment Grouping and Saliency Analysis'
BUAATJWX/py_cfar
Vessel Detection in Synthetic Aperture Radar(SAR) Images
BUAATJWX/R3Det_Tensorflow
Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
BUAATJWX/RITSAR
Synthetic Aperture Radar (SAR) Image Processing Toolbox for Python
BUAATJWX/RotationDetection
This is a tensorflow-based rotation detection benchmark, also called UranusDet.
BUAATJWX/SAR-Image-Recognition
This is a CNN for Polarimetric SAR Image Classification
BUAATJWX/sar-vessel-detection-deeplearning
BUAATJWX/SAR.AI
:satellite: Multi-Level Pattern Histogram for Synthetic-Aperture Radar (SAR) image classification into terrain classes.
BUAATJWX/SAR_GENERATIVE_MODEL
This is the source code of ‘Synthetic Aperture Radar Image Generation with Deep Generative Models’ paper
BUAATJWX/SAR_specific_models
BUAATJWX/shap
A game theoretic approach to explain the output of any machine learning model.
BUAATJWX/Spiking-Neural-Network
Pure python implementation of SNN
BUAATJWX/tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
BUAATJWX/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
BUAATJWX/USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)