Yakhyokhuja Valikhujaev

UniFace: An All-in-One Open-Source Face Analysis Library - Face Detection, Face Recognition, Landmark Localization, Face Parsing, Gaze Estimation, and Attribute Estimation (Age, Gender, Race)

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation | Face Parsing | In PyTorch >> ONNX Runtime Inference

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation | PyTorch & ONNX Runtime Inference

MobileGaze: Real-Time Gaze Estimation models using ResNet 18/34/50, MobileNet v2 and MobileOne s0-s4 | In PyTorch >> ONNX Runtime Inference

👤🔍 | Face Detection , Gender and Age, Face Recognition, Facial Landmarks

PyTorch Implementation of "RetinaFace: Single-stage Dense Face Localisation in the Wild" | 88.90% on WiderFace Hard >> ONNX Support

YOLOv8 trained on CrowdHuman dataset and supports ONNX Runtime Inference for Image, Video and Webcam

Silent-Face-Anti-Spoofing minimal PyTorch and ONNX Runtime Inference codebase

Face re-identification using FAISS (Vector DB), ArcFace (Face Recognition) & SCRFD (Face Detection) | ONNX Runtime Inference

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ByteTrack: Multi-Object Tracking by Associating Every Detection Box | Face Tracking using ByTrack and UniFace

📷 | DarkNet19, DarkNet53, DarkNet53-ELASTIC and CSPDarkNet53 Implementation using PyTorch

PyTorch Implementation of EfficientNet b0-b7 models

YOLOv5 Face Detection ONNX inference for Image, Video and Webcam

Real Time Head Pose Estimation: Accurate head pose estimation using ResNet 18/34/50 and MobileNet V2/V3 models. Evaluate yaw, pitch, and roll with pre-trained weights for quick integration.

PyTorch Implementation of MobileNetV3 large and small

People Tracker using ByteTracker and YOLOv8-nano ONNX Runtime

End-to-end pipeline to crop PDF pages, run vision-language OCR with Qwen2.5-VL, and merge outputs into structured text.

📸 High-Performance Face Recognition Framework (models trained on MS1MV2) | In PyTorch >> ONNX Runtime Inference

Face Segmentation using XSeg model from DeepFaceLab | ONNX Runtime Inference

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Road crack segmentation with UNet in PyTorch — Includes implementations of multiple loss functions such as Focal, Dice, and Dice + CE.

Real-time webcam demo using SmolVLM with vLLM backend

Implementation of DeepLabV3 using PyTorch

🚗 | UNet implementation using PyTorch | CARVANA Dataset | Car Segmentation

AdaFace: Quality Adaptive Margin for Face Recognition | ONNX Runtime Inference

Re-Implementation of "FaceBoxes: A CPU Real-time Face Detector with High Accuracy" | Less than 4MB

SORT: Simple Online and Realtime Tracking | Tracking Faces using UniFace and SORT Tracker

🤖 | A collection of comprehensive PyTorch tutorials covering fundamental and advanced deep learning concepts

YOLOv8 Face Detection trained on WIDERFACE Dataset. Supports ONNX Runtime inference for Image, Video and Webcam