Programmable high-voltage DC/DC converter based on Raspberry Pi 4B. For a DARPA project (HR001118C0125) on the quantised inertia (QI).
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Updated
Oct 6, 2022 - Python
Programmable high-voltage DC/DC converter based on Raspberry Pi 4B. For a DARPA project (HR001118C0125) on the quantised inertia (QI).
Programmable high-voltage DC/DC converter based on Raspberry Pi 4B. For a DARPA project (HR001118C0125) on the quantised inertia (QI).
This repository contains my fixed version of DARPA's Cyber Grand Challenge Objdump tool (version 2.24). I received segmentations faults during "objdump -b binary -m i386 -D input_file".
Carnegie Mellon University's contributions to DARPA Brandeis, specifically for PE Android.
Quick and dirty jupyter notebook to implement my thesis' algorithm
Programmable high-voltage DC/DC converter based on Raspberry Pi 4B. For a DARPA project (HR001118C0125) on the quantised inertia (QI).
Programmable high-voltage DC/DC converter based on Raspberry Pi 4B. For a DARPA project HR001118C0125 on the quantised inertia (QI).
Programmable high-voltage DC/DC converter based on Raspberry Pi 4B. For a DARPA project HR001118C0125 on the quantised inertia (QI).
DARPA proposal to conduct research on the latest Low Power Wide Area Network (LPWAN) technology.
Project on the quantised inertia (QI)
A faster version of AFL-Fuzz used for DARPA Cyber Grand Challenge with optimized scheduler code
Unsupervised HHMM Training
Programmable high-voltage DC/DC converter based on Raspberry Pi 4B. For a DARPA project (HR001118C0125) on the quantised inertia (QI).
Essential playbooks & runbooks for cybersecurity operations. A dynamic resource for security pros to navigate digital threats, with best practices, incident management protocols, and community-driven updates. Elevate your security strategy and response with our AI-driven guides.
Repo for the Machine Common Sense project
A set of estimation, visualization, and evaluation modules for performing lidar-lidar calibration for autonomous vehicles and other robotic systems. This framework was validated/built for analyzing point cloud and odometry data from the DARPA SubT Challenge.
The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.
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