Pinned Repositories
clone
CustomTkinter
A modern and customizable python UI-library based on Tkinter
drawio
ecgecbh
fastapi-react-mongodb
A minimal FARM stack boilerplate / template project to get you started with a Python FastAPI backend, React frontend, MongoDB, and JWT user authentication (via FastAPIUsers).
fastapi_example
first-git
flutter_heatmap_calendar
📆 Flutter heatmap calendar inspired by github contribution chart. [traditional mode / calendar mode]
frontend
image_processing
raheessaif's Repositories
raheessaif/clone
raheessaif/CustomTkinter
A modern and customizable python UI-library based on Tkinter
raheessaif/drawio
raheessaif/ecgecbh
raheessaif/fastapi-react-mongodb
A minimal FARM stack boilerplate / template project to get you started with a Python FastAPI backend, React frontend, MongoDB, and JWT user authentication (via FastAPIUsers).
raheessaif/fastapi_example
raheessaif/first-git
raheessaif/flutter_heatmap_calendar
📆 Flutter heatmap calendar inspired by github contribution chart. [traditional mode / calendar mode]
raheessaif/frontend
raheessaif/image_processing
raheessaif/material-dashboard-react
React version of Material Dashboard by Creative Tim
raheessaif/material-ui-tut
raheessaif/MGFN
This is the official repo of paper accepted in AAAI 2023 Oral.
raheessaif/RTFM
Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]
raheessaif/Tkinter-Designer
An easy and fast way to create a Python GUI 🐍
raheessaif/todo_app
raheessaif/ttkbootstrap
A supercharged theme extension for tkinter that enables on-demand modern flat style themes inspired by Bootstrap.
raheessaif/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
raheessaif/WSAL
Official codes for paper: Localizing Anomalies from Weakly-Labeled Videos
raheessaif/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
raheessaif/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information