zeeshann1 Goto Github PK

followers: 2.0 following: 48.0 repos: 43.0 gists: 0.0

Name: Zeeshan Hyder

Type: User

Bio: AI Algorithm Engineer I Computer Vision I Machine Learning I Embedded Engineer

Location: Shanghai, China

Hi there

I am a competent and highly motivated AI Algorithm Engineer with comprehensive knowledge of new AI technologies, algorithms and products, with a passion for utilizing cutting-edge technologies to drive innovation and solve complex problems.

Expert in AI algorithm design, deep learning, machine learning, computer vision and embedded hardware development. Currently, I am working in the R&D department as an AI Algorithm Engineer.

My prior experience as an Electronic Hardware Engineer and Embedded Engineer has given me a solid foundation in the field of hardware development.

Skills

Deep Learning Frameworks

Hardware Development

Testing and Analysis

Front-end Web Development

Integrated Development Environments (IDEs)

📞 Connect with me

Zeeshan Hyder's Projects

ai-development-boards

Rockchip based AI development boards comparative study

android-app-yolov5-based-on-tflite

Object Detection YOLOv5 Android APP deployment Based on TFLite Model

chatgpt-gui

ChatGPT Graphical User Interface Based on Tkinter.

dexined

DexiNed: Dense EXtreme Inception Network for Edge Detection

diffod

Diff tool to check object detection result.

firefly-ai-boards-performance-evaluation

Comparative analysis and testing of Firefly AI development boards. (RK3399 & RK3588s)

imagefilters-webapp-streamlit

Apply filters to your image using streamlit based webapp program

learn_cpp

This repository includes all C++ coding techniques

learncpp

Learn Cpp from Beginner to Advanced ✅ Practice 🎯 Code 💻 Repeat 🔁 One step solution for c++ beginners and cp enthusiasts.

ml-kit-on-android

Use on-device machine learning in your apps to easily solve real-world problems.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

ncnn-android-yolov5

The YOLOv5 object detection android example

ncnn-android-yolov7

Android Live Demo inferenece of Yolov7 using ncnn

ncnn_nanodet_hand

Android hand detect and pose estimation by ncnn

slowfast-network-video-classification-detection

Slowfast AI algorithm recognized what activity is being performed in the video. It also can detect any action is happening. Used for video understanding research on different tasks (classification, detection, & etc.)

streamlit-custom-applications

This project perform Face detection, Background Remove and Streamlit GUI

vehicle-counting-yolov5

An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.