mominnawaf

ai-chatbot-framework

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

android-firebase-chat

Android-video-streaming-app_RPIstreaming

Android, Video streaming, RPI

Applozic-Web-Plugin

Javascript (jQuery) Real Time Chat & Messaging plugin

awesome-spinners

💫 A curated collection of dazzling web spinners

creadit_card_fraud_detection_using_artifitial_neural_network_and_self_organiaing_maps

The credit card business has increased speedily over the last two decades. Corporations and establishments move components of their business or entire business, towards online services providing e-commerce, data and communications for services for aim of permitting their customers with high potency and accessibility. Regardless of location shoppers will continue to make as they formally did “Over the Desk”. The evolution is a huge step towards potency and accessibility and profitableness of view nevertheless, it additionally has some drawbacks. The is threaten by the bigger vulnerability to threat. The matter with creating business through internet card lie within the fact that neither the card nor the user need to be present at point of sale. Thus, it is impossible for merchandiser to check weather the cardholder is real or not. Payment card fraud is major downside thought the world. Companies loose immense amount of money due to credit card fraud and fraudsters ceaselessly obtain new ways to commit unlawful activities. The good news is that frauds tends to be perpetrated to some patterns which it’s potential to sight such that the fraud. Using information from the credit card issuer, a neural network based fraud detection system was trained on an outsize sample of tagged credit card accounts and tested on holdout account set that consider all the account activities over a resulting two months of periods. The neural network was trained on samples of fraud due to loss, stolen cards, application fraud, counterfeit fraud. As we know Artificial Neural Network works as human brain when trained properly. Yet, it is impossible for ANN to emulate human brain, both depend on small functional unit called Neuron. We have also implemented SOM for accuracy purpose. We tend to discuss the performance of the network and accuracy.

FaceDetection

LaneDetection

node_jwt

Rest-1.0

mominnawaf/react-app-simple-chat-app

A Simple Chat Application using MERN stack (MongoDB, Express JS, React JS, Node JS) and Socket.io for real time chatting

mominnawaf/client

The Universal Tox client. Platform-agnostic Tox client with user-friendlyness in mind!

mominnawaf/weweChat

💬 Unofficial WeChat client built with React, MobX and Electron.

mominnawaf/Applozic-Web-Plugin

Javascript (jQuery) Real Time Chat & Messaging plugin

mominnawaf/Lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

mominnawaf/peer-calls

Group peer to peer video calls for everyone

mominnawaf/Video-Call-App-NodeJS

A conference call implementation using WebRTC, Socket.io and Node.js

mominnawaf/leapifyprojectcode

mominnawaf/awesome-spinners

💫 A curated collection of dazzling web spinners

mominnawaf/SVG-Loaders

Loading icons and small animations built with pure SVG.

mominnawaf/tensorchat

A p2p chat application built with webrtc.

mominnawaf/Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

mominnawaf/LaneDetection

mominnawaf/FaceDetection

mominnawaf/Building-a-Simple-Chatbot-in-Python-using-NLTK

Building a Simple Chatbot from Scratch in Python (using NLTK)

mominnawaf/reactjs-chat-demo

The web chat made by ReactJS and Firebase

mominnawaf/deepracer-for-dummies

a quick way to get up and running with local deepracer training environment

mominnawaf/ai-chatbot-framework

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

mominnawaf/node-chat-one-to-one

Node.js socket-io based one to one chat engine

mominnawaf/MyCredibleInfo

mominnawaf/React-Chat-Tutorial

mominnawaf/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

mominnawaf/datasciencecoursera

mominnawaf/Credit-Management-App-Code

mominnawaf/react-slack-chat

A chatting app made with React, Redux and Firebase

mominnawaf/eckovation

mominnawaf/q-municate-web

Q-municate Web chat application

mominnawaf/Netflix_Clone

mominnawaf/creadit_card_fraud_detection_using_artifitial_neural_network_and_self_organiaing_maps

The credit card business has increased speedily over the last two decades. Corporations and establishments move components of their business or entire business, towards online services providing e-commerce, data and communications for services for aim of permitting their customers with high potency and accessibility. Regardless of location shoppers will continue to make as they formally did “Over the Desk”. The evolution is a huge step towards potency and accessibility and profitableness of view nevertheless, it additionally has some drawbacks. The is threaten by the bigger vulnerability to threat. The matter with creating business through internet card lie within the fact that neither the card nor the user need to be present at point of sale. Thus, it is impossible for merchandiser to check weather the cardholder is real or not. Payment card fraud is major downside thought the world. Companies loose immense amount of money due to credit card fraud and fraudsters ceaselessly obtain new ways to commit unlawful activities. The good news is that frauds tends to be perpetrated to some patterns which it’s potential to sight such that the fraud. Using information from the credit card issuer, a neural network based fraud detection system was trained on an outsize sample of tagged credit card accounts and tested on holdout account set that consider all the account activities over a resulting two months of periods. The neural network was trained on samples of fraud due to loss, stolen cards, application fraud, counterfeit fraud. As we know Artificial Neural Network works as human brain when trained properly. Yet, it is impossible for ANN to emulate human brain, both depend on small functional unit called Neuron. We have also implemented SOM for accuracy purpose. We tend to discuss the performance of the network and accuracy.

mominnawaf/stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.