Tony Knapp's Projects
An example of how to adapt the C3D CNN for another problem. Really a fork of https://github.com/axon-research/c3d-keras
Contains rules explaining how to use test vectors for the AWS Encryption SDK
AWS Cryptographic Material Providers Library for Java
Amazon DynamoDB Encryption Client for Java
Amazon DynamoDB Encryption Client for Python
AWS Encryption SDK for C
CLI wrapper around aws-encryption-sdk-python
AWS Encryption SDK for Dafny
Explains how to use the AWS Encryption SDK, a library that enables secure client-side encryption. The Encryption SDK uses cryptography best practices to protect your data and the encryption keys used to protect that data.
AWS Encryption SDK
AWS Encryption SDK for Javascript and Node.js
AWS Encryption SDK
AWS Encryption SDK Specification
AWS Cryptographic helpers for Javascript and Node.js
A stream implementation for Python that provides transparent base64 encoding and decoding of an underlying stream.
A workshop to introduce client-side encryption with the AWS Encryption SDK and AWS KMS.
AWS Cryptography Crypto Tools Team
This a very simple FTP server implementation for a project.
AI #15 is due on Tuesday, 6 May. Write a genetic algorithm (GA) that learns all ones for a 32 bit chromosome. Make your program able to work for any size input string. It should be able to randomly generate the initial population. Do the standard selection, crossover, and mutation as discussed in class. At each x generations display the best individual along with its fitness and the average fitness of the population.
Chez Petite Scheme competition bots.
Hierarchical Deep CNN for image recognition and labeling
Undergraduate Research Project, developing a neural network in Java with back propagation. This code is an exploration of neural networks, so that the creator can then adapt it to Arduino to create an Independently Processed Neural Network on Arudino Pro Mini's for robotic control.
An HTTP server in Java. For a group project in a networks class.
Libraries useful for Dafny programs
A quick demo using open-cv, tensorflow and keras to detect motion in a camera and