Detect file content types with deep learning
Role in this project:
Back-end Developer & DevOps Engineer Contributions:3 releases, 123 reviews, 355 PRs in 1 year 1 month
Contributions summary:Yanick primarily focused on code refactoring and dependency management by removing a dependency on the 'rich' package. They updated comments within the code to improve clarity. Significant changes were made involving a major refactor and clean-up of the core Magika Python module, including optimizations and design improvements. In addition, they worked on the clean-up of logger setup and usage, updating the CLI.
deep-learningfiletypekeras-classification-modelskeras-modelsmime-types
A shellcode writing toolkit
Role in this project:
Backend Developer Contributions:16 commits, 5 PRs, 5 pushes in 9 years
Contributions summary:Yanick contributed significantly to the `shellnoob` project, a toolkit for writing shellcodes. Their initial commit established the project with core functionality. Subsequent commits involved improvements to the `opcode_to_ins` feature and refactoring of the codebase, including the implementation of hex_to_exe, indicating an understanding of low-level programming concepts and shellcode manipulation. Further revisions introduced completec, and made adjustments to improve overall functionality.
shellcodeshell