Name: Muhammad Ahmad Bilal
Type: User
Company: Studio Almond
Bio: I am a Web Developer with 3+ years of professional experience in developing web and mobile apps.
Twitter: ahmadshaikhk
Location: Islamabad, Pakistan
Blog: https://www.linkedin.com/in/ahmadshaikhk
Muhammad Ahmad Bilal's Projects
Frontend Masters Advanced Git - by Nina Zakharenko
This repository contains best profile readme's for your reference.
Model that analyzes bike-sharing patterns
The projects I built during studying Computer Vision.
Machine learning datasets used in tutorials on MachineLearningMastery.com
Using sagemaker to deploy the model
A dog breed classfier model built upon pretrained model vgg11 that classifies 133 different breeds of dog
Markdown editor made in flutter.
Created AdaBoost Model to predict the whether the income is <=50K or >50K of an individual. In order to find potential donors.
This repository contains the source code for the paper First Order Motion Model for Image Animation
A full stack e-commerce app with Flutter, Javascript, Node.js, Express, MongoDB and Mongoose.
This a e-commerce app that I have developed in flutter framework. This app is developed using Riverpod package for state management and GoRouter for routing through different application screens.
A Mid-level flutter app in which I have used Navigator 2.0 for routing and MVVM Design pattern for organising the folder structure.
This repository contains all the projects I have done in Flutter Framework from the start of my journey.
Frontend in Vuejs, Backend in golang and python, Postgres is used as a database
This repository consists of all web development project using HTML, CSS, JAVASCRIPT, NODEJS, EXPRESSJS, MONGOOSEJS, MONGODB...
This repository contains the assignments and projects of coursera specialization on GANs.
A robot powered training repository :robot:
A unsupervised model K-Means Clustering is used to identify the customers segments.
A model that classifies images of 102 different categories of flowers.
The lab I did during my Maching Learning Course at SEECS.
YOLO Object detection with OpenCV and Python.