Mattia Bradascio's Projects
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
Recipes for avoiding bounds checks in Rust, without unsafe!
Presentations and docs
High-level tracing language for Linux eBPF
Automated Adversary Emulation Platform
Stochastic Process Calculus blockchain network simulator
DFS, BFS algos in C++
Go client for Kubernetes.
A way to host your own C++ written webserver from a docker container
Azure SGX centred GoLang Application
(Formerly Solium) Code quality & Security Linter for Solidity
Exercises
Different parallelism approaches in Java
Latest source files for kdb+tick
Low-overhead tracing of all Linux kernel-user transitions, for serious performance analysis. Includes kernel patches, loadable module, and post-processing software. Output is HTML/SVG per-CPU-core timeline that you can pan/zoom down to the nanosecond.
LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and Linux-based devices, such as those powered by Android. The tool supports acquiring memory either to the file system of the device or over the network. LiME is unique in that it is the first tool that allows full memory captures from
Adding support for the Rust language to the Linux kernel.
Official curricula for the LLMOPs course at Duke University
Symbolic execution tool