y742035557,github

adminlte

AdminLTE - Free admin dashboard template based on Bootstrap 4

Model for the extraction of lane lines, both curved and straight, from the road. Augmented the lane area, as well added important metrics, such as cars distance from the center of the road. Implemented with OpenCV and python.

ai-series

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

android-demo-app

PyTorch android examples of usage in applications

animeganv2

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

arcfacedemo

ArcSoft Free SDK demo，support ArcFace2.1， ArcFace2.0， ArcFace1.2

arcsoft_fdfr_python_demo

虹软人脸认知引擎——Python调用

augmented-reality

Augmented reality proof of concept project with Python and OpenCV

auto_bill

自动识别发票并填写验收单,python-opencv+paddleocr+pandas

automated-resume-screening-system

Automated Resume Screening System using Machine Learning (With Dataset)

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

bayonet

bayonet是一款src资产管理系统，从子域名、端口服务、漏洞、爬虫等一体化的资产管理系统

beautygan

transfer the makeup style of a reference face image to a non-makeup face

bicyclegan

Toward Multimodal Image-to-Image Translation

bilibili_video_download

:rainbow:Bilibili_video_download-B站视频下载

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

cartoongan-tensorflow

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

cartoongan-test-pytorch-torch

Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]

centerfusion

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5