Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)

yolov8 face detection with landmark

yolov7 face detection with landmark

yoloface大礼包 使用pytroch实现的基于yolov3的轻量级人脸检测（包含关键点）

使用OpenCV部署yolov8检测人脸和关键点以及人脸质量评价，包含C++和Python两个版本的程序，只依赖opencv库就可以运行，彻底摆脱对任何深度学习框架的依赖。

基于yolov5的人脸检测，带关键点检测

YOLO-FaceV2: A Scale and Occlusion Aware Face Detector

Face Detection and Gender and Age Classification using Keras

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Training YOLOv9 for face detection on the WIDER Face dataset

更新的yolov5检测人脸和关键点，只依赖opencv库就可以运行，程序包含C++和Python两个版本的

Pre-trained YOLOv8-Face models.

real time face recognition with YOLO and FaceNet

NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Face models

YOLOv8 for Face Detection

YOLO-CROWD is a lightweight crowd counting and face detection model that is based on Yolov5s and can run on edge devices, as well as fixing the problems of face occlusion, varying face scales, and other challenges of crowd counting

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yolov5检测人脸和关键点，只依赖opencv库就可以运行，程序包含C++和Python两个版本的

Next Gen Face detection based on YOLOv7

YOLO5Face 2021 with MNN/NCNN/TNN/ONNXRuntime

基于Yolo的人脸情绪识别

This is a robot project for television live. System will tracking the host's face, making the face in the middle of the screen. Main algorithm is Yolov3, trained on WIDER FACE and tested on FDDB benchmark. Extremely fine performance!

use yolo v2 to train face detection model on CelebA dataset

使用ONNXRuntime部署YOLOV7人脸+关键点检测，包含C++和Python两个版本的程序

👁 Using YOLOv8 to detect face parts

Starter version yolo net achieve face detection in kendryte K210~

yolov7-face tensorrt

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使用yolov5构建人脸检测模型，使用预训练的Arcface完成人脸特征提取和识别