💫 Industrial-strength Natural Language Processing (NLP) in Python

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

TextRank implementation for Python 3.

🦜🔗 Build context-aware reasoning applications

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

模仿网易云音乐的年度代码报告

Pre-Built Vulnerable Environments Based on Docker-Compose

Python - 100天从新手到大师

FuzzBench - Fuzzer benchmarking as a service.

[LLVM Static Slicer] Various program analyses, construction of dependence graphs and program slicing of LLVM bitcode.

UNMAINTAINED: Examples of using the LLVM and Clang compilation libraries and tools

[ICSE2020] MemLock: Memory Usage Guided Fuzzing

Recent Fuzzing Paper

MOpt-AFL provided by the paper "MOPT: Optimized Mutation Scheduling for Fuzzers"

Smart Greybox Fuzzing (https://thuanpv.github.io/publications/TSE19_aflsmart.pdf)

american fuzzy lop - a security-oriented fuzzer

Set of tests for fuzzing engines

Directed Greybox Fuzzing with AFL

A crawler for submissions on leetcode-cn. 这是一个用来爬取力扣中国(LeetCode CN)提交代码的爬虫。

Read-only mirror of https://gitlab.gnome.org/GNOME/libxml2

american fuzzy lop (copy of the source code for easy access)

Directed Greybox Fuzzing with AFL

Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.

JAVA GUI 图书馆管理系统

README文件语法解读，即Github Flavored Markdown语法介绍

Ruby on Rails Tutorial sample application