idiotcv,dingdang,github

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-anchor-free-object-detection

In this project, we focus on collection the anchor free object detection paper or code.

awesome-backbones

集成主流Backbone，学习/对比/魔改

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

camera_model

相机内参标定和双目标定, 支持多种相机模型和多种标定板，

cpp-primer-plus-6e-notes

C++ Primer Plus 学习笔记

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning

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

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

face_recognition_py

基于OpenCV的视频人脸识别

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

intelligent-traffic-based-on-cv

本项目是基于计算机视觉的端到端交通路口智能监控系统．采用的设计架构由SRS流媒体服务器、GPU服务器、Local客户端三部分组成．可将远端视频流通过rtmp协议传输到流媒体服务器，然后经过目标检测等一些列算法对视频进行分析，最后在本地客户端查看分析结果．项目主要用Python实现，流媒体服务器采用开源的SRS实时视频服务器搭建，GPU服务器使用YOLO模型实现道路目标如人、车、交通灯等物体的识别，同时还支持并发连接．客户端基于PyQt5进行开发．

introduce_c-cpp_manual

一个收集C/C++新手学习的入门项目，整理收纳开发者开源的小项目、工具、框架、游戏等，视频，书籍，面试题/算法题，技术文章。

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.