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The source code for AMAISE: A Machine Learning Approach to Index-Free Sequence Enrichment and the accession codes for the data used to train and test AMAISE.

This is a project directed by Dr. Ivo and Jared Chai and written by Shihang Li and Yongxiang Zhao

Code for Learning Credible Models

Code for Learning Credible Models

Adding Semantic analysis to existing parser

LIS3MDL Magnetometer Driver

Humidity and Temperature Sensor for dhaarav0.5

The project pushes real time data from the sensors and displays it on a Web App GUI.

Code assignments developed as part of MIT Embedded Driver development MOOC. Drivers covered - UART, RTC, PLL_SYS_CLK for STM32F4X board