Ceres's repositories
Devil-Whisper-Attack
Devil-Whisper-Attack
record_what_i_read
AI Model Security Reading Notes
APKCrawler
APK Crawler for Github, Xiaomi, FossDroid, ApkPure.
Transferbility_of_AEs
This is the github page for **Section VIII.B** (Audio Tranferability Experiments) of the paper "SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems", we put our audio adversarial examples introduced in the paper.
Fuck-Tencent
作为一个学习党，你还总是被室友的打游戏的机械键盘声音吵到么，你还总是被室友在游戏里要被杀死的绝望叫声所震撼么，你还被室友输了游戏以后久久不能释怀的喃喃自语所心烦么？不要犹豫了，点进来！点一下，你点不到吃亏；点一下，你点不到上当！来吧朋友，让我们还你一片没有小学生的蓝天！
Security-PPT
Security-related Slide Presentation（大安全各领域各公司各会议分享的PPT）
alpaca-lora
Instruct-tune LLaMA on consumer hardware
Ant-AntV
一个经过实战考验的免杀程序生成器
awesome-job
互联网面试找工作，面经与内推，涵盖：Java C++ Python Go ML NLP CV Data
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
CVEfixes
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
funboost
pip install funboost，python全功能分布式函数调度框架,。支持python所有类型的并发模式和全球一切知名消息队列中间件，python函数加速器，框架包罗万象，一统编程思维，兼容50% python编程业务场景，适用范围广。只需要一行代码即可分布式执行python一切函数。
LLaMA-Factory
Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM3)
LLMDataHub
A quick guide (especially) for trending instruction finetuning datasets
micro_service_seclab
Java漏洞靶场
MockingBird
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
nmt
TensorFlow Neural Machine Translation Tutorial
STT
Mozilla Voice STT is an open source speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
voicebook
🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).