This is my first blog. In this blog I talk about a high level overview about resources provided in MATLAB and Simulink for developing AI component in your projects. The post ends with me introducing myself and my work with the MathWorks student competitions team.
Video Series of 4 videos demonstrating the complete workflow of object detection from Data Labelling to NVIDIA Jetson Deployment with YOLOv2 network
How I imported Tiny YOLOv2 ONNX model in MATLAB and re-trained the network to detect objects on custom data set
Starter code for the DrivenData's Open AI Caribbean Challenge: Mapping Disaster Risk from Aerial Imagery in MATLAB. Used BigImage and Deep Learning techniques to classify the roof types from aerial images of Caribbean cities.
Starter code for the DrivenData's Clog Loss: Advance Alzheimer’s Research with Stall Catchers Data Science Challenge in MATLAB. Used CNN + LSTM network for video classification.
A blog that discussed about different methods of Video Classification and provides resources how you can implement them in MATLAB.
As a member of WiDS Datathon 2020-21 committee, I develop various starter resources kit to solve the machine laerning task using MATLAB
A resource guide to analyze and process data using WiDS 2021 dataset as example
YouTube video demonstrating how you can process and clean time series MATLAB®.
YouTube video demonstrating how you can implement 4 object oriented programming principles in MATLAB®.
YouTube Video demonstrating the programming options using VEX EDR V5 smart motors. Developed for the particionats of VEX Robotics.