Timelok ⏳ – AI-powered HR & Attendance Management System. Built with Django, it includes face recognition attendance, smart employee-manager chat, AI chatbot (spaCy + Transformers), role-based access control, and analytics dashboards for modern workforce management.

Reimplementation of MTCNN with the whole pipeline making full use of PyTorch and Torchvision.

A real-time facial recognition system using MTCNN for face detection, InceptionResNet for embedding generation, and FastAPI for a high-performance REST API. Built with PyTorch, it supports multiple camera feeds, making it ideal for surveillance, access control, and identity verification at scale.

Face Recognition System developed using PyTorch Face-Net and MTCNN modules. Detects and verifies user-selected faces.

AI based security system!

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

Replication of original faceswap paper with some modification

使用MTCNN进行人脸识别，FaceNet进行特征提取的人脸识别系统

Analyzes of the Face Detection models

Mtcnn->思维导图->开发步骤->成品->效果图

the Dog Breed Classifier based on CNN, which can identify the breed of the dog if the dog is detected in the image and also can detect the human face if it is there in the image.

face detection using mtcnn complete implementation step by step

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Python Code for Face Recognition on Webcam

Tutorial about how to train MTCNN from zero to one.

pytorch implementation of face detection algorithm MTCNN