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How to make undergraduates or new graduates ready for advanced computer architecture research or modern CPU design
Battery state of charge estimation using kalman filter in Matlab
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
An FFT-Based Technique for Translation, Rotation, and Scale-Invariant Image Registration
Machine Learning for Synthetic Aperture Radar Autofocus
This code was written as part of a project for a course in grad school. It generates a synthetic ground reflectivity function and a return radar measurements from the reflectivity. It then performs…
A model-based deep learning network for inverse problem in imaging
🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.
Blind Geometric Distortion Correction on Images Through Deep Learning
A Tensorflow implementation of Spatial Transformer Networks.
Some basic algorithm used in Radar data process, including pulse compression/CFAR/monopulse、Kalman filter and fusion、arrary antenna design.
An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.
A Python implementation of the Range Migration Algorithm (RMA) to generate Synthetic Aperture Radar (SAR) images.
Despeckling Synthetic Aperture Radar Images using a Deep Residual CNN
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
💻深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割
Paper and implementation of UNet-related model.
📚 Freely available programming books
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
