Hafidz Daud's Projects
One Minute Tips
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Python Ai "person detector" using Coral TPU or Movidius NCS/NCS2
Python MobileNet-SSD AI using Movidius NCS and/or CPU AI with "netcam" security cameras.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Amazon Kinesis Video Streams Producer SDK for C++ is for developers to install and customize for their connected camera and other devices to securely stream video, audio, and time-encoded data to Kinesis Video Streams.
A SDK to help users embed QuickSight dashboards on other pages.
A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
This is a Next.js starter for building a fullstack app with AWS Amplify.
AWS Workshop tutorial for building a photo gallery web app using AWS Amplify and AWS AppSync.
The Domain Name System is a fundamental component of the internet since it maps the easy-to-remember domain names to IP addresses. Therefore, it is usually the primary target for most of the malicious attacks such as DNS Poisoning and Rogue DNS servers. With the help of 0x20 bit encoding, the problem of DNS Poisoning is mitigated to quite a large extent. Although, it has a minor requirement that the authoritative nameserver should be able to preserve the case of the DNS query. It is usually difficult to detect the rogue DNS server above the stub resolver. We propose an anomaly detection system which would be able to raise a red flag in case of DNS Poisoning and malicious DNS authority by passive DNS analysis of domain names and then comparing them with the 0th day cluster of the database. We perform the passive DNS analysis for 27 days by querying the whois server of CYMRU, compare the network profiles of the domain names crawled with the 0th day cluster and categorize the domain names as static, benign anomaly and malicious anomaly depending upon the cluster a domain name shifted. In the process, we also create a WHOIS repository for Alexa domain names which is faster to query than the WHOIS server.
Anomaly Detection with R
A collection of notebook to learn the Applied Predictive Modeling using Python.
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online data analytics
Avatars for Zoom and Skype
Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform
Reinforcement learning resources curated
TensorFlow - A curated list of dedicated resources http://tensorflow.org
amazon web services
This is a self-paced workshop designed for developers who want to build a React Native mobile application using mobile services from Amazon Web Services (AWS).
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
The open source version of the AWS DeepLens user guide. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
Build worker safety app using AWS DeepLens and Amazon Rekognition.
DeepRacer workshop content
AWS Glue code samples
Reference architecture for deploying and managing Greengrass components.
SDK for connecting to AWS IoT from a device using Python.