Pinned Repositories
attendance-system
covid19chatbotusingdialogflow
Fake-News-Detection-for-Covid19
Sentiment Analysis Use Case for classifying between Genuine or Fake News related to Covid-19
learnopencv
Learn OpenCV : C++ and Python Examples
Lung-Segmentation-in-TensorFlow-2.0
This repository contains the code for Lung segmentation using Montgomery dataset in TensorFlow 2.0.
Machine-Learning
Projects based on Machine Learning
moment_detr
Moment-DETR code and QVHighlights dataset
Object-Detection-and-Tracking
Object Detection and Multi-Object Tracking
Silent-Face-Anti-Spoofing
静默活体检测（Silent-Face-Anti-Spoofing）
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
judgepazair's Repositories
judgepazair/attendance-system
judgepazair/Fake-News-Detection-for-Covid19
Sentiment Analysis Use Case for classifying between Genuine or Fake News related to Covid-19
judgepazair/learnopencv
Learn OpenCV : C++ and Python Examples
judgepazair/Lung-Segmentation-in-TensorFlow-2.0
This repository contains the code for Lung segmentation using Montgomery dataset in TensorFlow 2.0.
judgepazair/moment_detr
Moment-DETR code and QVHighlights dataset
judgepazair/Object-Detection-and-Tracking
Object Detection and Multi-Object Tracking
judgepazair/Silent-Face-Anti-Spoofing
静默活体检测（Silent-Face-Anti-Spoofing）
judgepazair/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
judgepazair/alias-free-gan
Alias-Free GAN project website and code
judgepazair/AlignPS
Code for CVPR 2021 paper: Anchor-Free Person Search
judgepazair/ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
judgepazair/conv3d-video-action-recognition
My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors
judgepazair/data-visualization
Data visualization in Python with Matplotlib & Seaborn
judgepazair/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
judgepazair/Face-recognition-project
Automate attendance record.
judgepazair/Face_Antispoofing_System
judgepazair/FaceAttend
Attendance system based on face recognition
judgepazair/FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
judgepazair/FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
judgepazair/hand-gesture-recognition-using-mediapipe
MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。（Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.）
judgepazair/Image-Classification-PyTorch
Learning and Building Convolutional Neural Networks using PyTorch
judgepazair/insightface
Face Analysis Project on MXNet and PyTorch
judgepazair/Multiclass-Segmentation-in-Unet
Multiclass segmentation on the Oxford-IIIT Pet dataset using the U-Net dataset.
judgepazair/NeuralNetworks
judgepazair/nn
🧠 Minimal implementations/tutorials of deep learning papers with side-by-side notes
judgepazair/OIDv4_ToolKit
Download and visualize single or multiple classes from the huge Open Images v4 dataset
judgepazair/sign-language-recogntion
Cross platform sign language translation with mediapipe
judgepazair/STCN
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
judgepazair/video-classification
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
judgepazair/xray_covid_predictor