🔥 A PLT hook library for Android native ELF.

:fire: ByteHook is an Android PLT hook library which supports armeabi-v7a, arm64-v8a, x86 and x86_64.

✨ Programming Language Research, Applied PLT & Compilers

Real-time physical light transport (PLT) framework

Programming Languages: Application and Interpretation

An improved patching system for Kobo eReaders.

Extremely simple and fast extreme multi-class and multi-label classifiers.

A library for creating mods for Kobo's eReader software, Nickel.

Repository that provide a wrapper to use the software TCAD Sentaurus with Python.

Formal semantics of LLVM IR in K

Featureful library for iterating and manipulating linux and android application's PLT (Procedure Linkage Table) at runtime

notes about glibc, ld-so and more.

OOPLAI中文翻译

Dynamic linker studies.

Pure, statically typed, content-addressable, programming language for spreadsheet use

An OCaml library implementing unifiable abstract binding trees (UABTs)

Example of using ELF hacking to inject malicious code into a target binary

Grotsky Programming Language

A solution of mocking glibc function with Google Test.

This plugin allows QuickLook to preview CAD file formats.

Rust PLT Hook 库

Patches PLT sections when IDA fails to do so

Statically typed functional programming language.

A Command Line Executable Viewer

Linux x86_64 PLT hooking. Examine and hook a live process library imports.

Programming language theory resources

Zephyr-based firmware for PLT Demo V2

Language support for Lua templates in VSCode

With the rise of deep learning models and the successful result showing in different domains (such as Computer vision and Natural language processing)researchers and laboratories of chem-informatics try to apply these techniques in drug design and discovery. recently,the application of Deep Learning in this area of research has made a good progress but it is in the early stage and we can’t say that the results lead us to rational drug design,which mean designing new drugs without in Vivo and human trials. in this project project, we apply different machine learning models on drug design and discovery datasets with multiple tasks (each dateset has a task or goal to achieve from the analysis) after the evaluation and comparison of our results and the benchmarks we found that the huge problem is the small amount of data.

Convert .vtk files to .dat files for viewing in Tecplot