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1001

1001 algorithms you must implement before you die

3d-mimo-sar_imaging

albitereader

A feature-rich e-book reader for the Java Mobile platform. Currently works with txt, xhtml and epub files. Supported features include touch scrolling, images, styling and multilingual hyphenation, on-touch dictionaries, units converter, table of contents. Uses the Droid Serif font through it's own font implementation scheme.

android-training-course-in-chinese

Android官方培训课程中文版

anything-llm

Open-source ChatGPT equivalent experience for both open and close source LLMs, embedders, and vector databases. Supports unlimited documents, threads, and concurrent users and management all in a very clean UI.

aodv-uu

An implementation of the Ad hoc On-demand Distance Vector (AODV) routing protocol

articletranslateproject

AndroidWeekly**文章翻译项目

awesome-english-ebooks

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

awesome-visdrone

Paper Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark.

bladerf

bladeRF USB 3.0 Superspeed Software Defined Radio Source Code

bonobo-git-server

Bonobo Git Server for Windows is a web application you can install on your IIS and easily manage and connect to your git repositories. Go to homepage for release and more info.

calendar-widget

An calender widget for your android home screen.

cnblogs

cnblogs offlineclient

cnblogsclient_v2

cv-detect-robot

🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)

data-science-notes

数据科学的笔记以及资料搜集

datastructuredemo

DataStructureDemo

deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch

deeplearningbook

MIT Deep Learning Book in PDF format

dronevehicle

无人机双光检测车辆Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

embedded-machine-vision-and-intelligent-automation

An introductory course on machine vision and related machine learning used in automation, autopilots, security and inspection systems. Topics covered include theory of computer and machine vision and related algorithms for image capture and processing, filtering, thresholds, edge detection, shape analysis, shape detection, salient object detection, pattern matching, digital image stabilization, stereo ranging, and methods of sensor and information fusion. Machine vision sensors covered include visible to long-wave infrared including passive EO/IR (Electro-Optical/Infrared) as well as active methods such as RGB depth mapping and LIDAR. Embedded and automation topics covered include implementation of these algorithms with FPGA or GP-GPU embedded real-time vision systems for autopilots (intelligent transportation), general machine vision automation and security including methods for detection, classification, recognition of targets, and applications including inspection, surveillance, search and rescue, and machine vision navigation.

epub3reader

EPUB3Reader Android App

feature-matching-and-position-matching-between-optical-and-sar

Using Deep learning to locate the Synthetic Aperture Radar(SAR) images to the counterpart of Optical images.

fmcw-mimo-radar-imaging

gradientdescent

guidetodatamining

面向程序员的数据挖掘指南

hellomoon

inet

INET framework for the OMNeT++ discrete event simulator

infragan

iosched

The Google I/O 2014 Android App