tecWang

Awesome

:computer: 🎉 An awesome & curated list of best applications and tools for Windows.

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

desktop

Focus on what matters instead of fighting with Git.

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

deepin-wine

【deepin源移植】Debian/Ubuntu上的QQ/微信快速安装方式

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

SeetaFaceEngine

Awesome-Black-Friday-Cyber-Monday

Awesome deals on Black Friday: Apps, SaaS, Books, Courses, etc.

FaceDetection-DSFD

腾讯优图高精度双分支人脸检测器

pytorch-center-loss

Pytorch implementation of Center Loss

GoFilm

多播放源自动采集在线影视网站 golang vue

Data-Structures-and-Algorithms-in-C

所有基础数据结构和算法的纯C语言实现，如各自排序、链表、栈、队列、各种树以及应用、图算法、字符串匹配算法、回溯、并查集等，献丑了

tiny-tensorrt

Deploy your model with TensorRT quickly.

mxnet_mtcnn_face_detection

MTCNN face detection

tf_trt_models

TensorFlow models accelerated with NVIDIA TensorRT

Rong360

用户贷款风险预测

CADLab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

iphonebackuptools

iOS Backup Data Extraction

iblog

🖋 iblog=issues blog 欢迎订阅(watch👀) 收藏(star)

tensorflow-nvJetson

TensorFlow for NVIDIA Jetson, also include patch and script for building.

center-loss.pytorch

center loss for face recognition

Person-Segmentation-Keras

Person segmentation with Keras (SegNet, Unet, etc.)

EasyOpenPose

OpenPose的简单实现

tensorrt-zoo

openpose, yolov3 with tiny-tensorrt

Ubuntu-In-Ish

mx-rcnn-1

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

Bayesian-Matting-implementation

實作 "A Bayesian Approach to Digial Matting" Paper中的Bayesian Matting進行圖片的前後景分割，將前景合成到另一張圖上。 專案使用到cv2.Diliation、Gaussian Mixture Model、Bayesian Approach等方法來達成前景、後景分割。

Dark2Caffe

yolov3-caffe

knowledges-for-cv

为了学习计算机视觉总结的一些知识点（包括计算机基础、机器学习、深度学习等）