About
Members
Suhaib
I explored various machine learning and deep learning models, focusing on understanding their architectures, functions, and key parameters. I worked extensively with PyTorch, analyzing how its models could be effectively used in practical applications. My main goal was to integrate these models into a user-friendly UI. I designed an interface that allows users to easily interact with and visualize model outputs. This helped bridge the gap between model complexity and real-world usability.
For any improvement, feature request, or bug you encounter while surfing, feel free to reach-out.
Haroon
I began by experimenting with code and data, driven by curiosity about how systems learn and decide. I built models that not only predicted outcomes but also revealed the underlying patterns, like survival odds during a disaster. I turned ML models into real tools, from mobile image classifiers to desktop trainers with saliency maps for explanations.
I taught myself frameworks like PyTorch and TensorFlow, pushing models from notebooks into apps. I care about explainability and ethical AI, not just results. I see ML as systems to be dissected, not just black boxes to tune. Know more about me
Vision
Our vision is to build a visual, modular platform for quickly creating ML/DL pipelines that allows handling preprocessing, training, evaluation, and export without repetition of same boilerplate.
This project began as a personal solution to remove friction and speed up our workflow but we hope it will grow into a broader tool for the community. We hope it helps accelerate your work as much as it will ours.