Mohammad Asif's repositories
Movie-Recommender-System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Food-Ordering-System
Online Food ordering web application
Discussion-Forums-Web-Application
Web application for Blogging
SocialBlog
Basic data driven Blog
Superheroes-Identification-from-Product-Image
deep learning program for super hero recognition
Data-Science--Cheat-Sheet
Cheat Sheets
House_Price_Predictor
Washington House price predictor
Source-Code-from-Tutorials
Here is the source code from all of my tutorials.
the-coding-interview
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
food-recipe-app
Food Recipe Web Application
complete-intro-to-react
A Complete Intro to React, as Given for Frontend Masters
Intelegent_Lock
lock mechanism with face recognition and liveness detection
java-design-patterns
Design patterns implemented in Java
low-level-design-primer
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
reactjs-interview-questions
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
spoofing_detection
Cork/Face Presentation Attack Detection
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Transfer-Learning-Face-Anti-Spoofing-Attack-Model
This repository contains the jupyter and mathematica notebooks of the Transfer Learning Model on VGG16, ResNet 50 architecture with ImageNet weights and FaceNet, and also our code proposed of the technique anti spoofing in the paper "Face Liveness Detection Based on Perceptual Image Quality Assessment Features with Multi-scale Analysis". Our project is about a Transfer Learning CNN on VGG16 architecture because it has the best results with an accuracy of 93,016 % in CASIA dataset, 97,321 % MDP dataset and 91,142 % NUAA dataset, we use a "real-time" landmark detection however the transfer learning model and landmark detection don't work together yet (our future work is that these two technologies can work together to reduce errors and improve the accuracy). This also contains the full paper of the "Anti Spoofing Face Detection Technique based on Transfer Learning Convolutional Neural Networks and Real-Time Facial Landmark Detection" to the Latinx in AI - ICML Workshop call.