aicreatbyme

Pinned Repositories

aflfast
AFLFast (extends AFL with Power Schedules)
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aiasistant
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Algorithm
算法与数据结构，是基础，打好编程的基本功。
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Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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FuzzingPaper
Recent Fuzzing Paper
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handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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miniftp
一个用c以及cpp写的简易的ftp服务器.
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MnasNet-PyTorch
A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
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MOpt-AFL
MOpt-AFL provided by the paper "MOPT: Optimized Mutation Scheduling for Fuzzers"
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numpy-ml
Machine learning, in numpy
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aicreatbyme's Repositories

aicreatbyme/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Language:Jupyter Notebook1 0 00
aicreatbyme/aflfast
AFLFast (extends AFL with Power Schedules)
Language:C0 0 00
aicreatbyme/aiasistant
0 0 00
aicreatbyme/Algorithm
算法与数据结构，是基础，打好编程的基本功。
Language:C++0 0 00
aicreatbyme/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Language:Jupyter Notebook0 0 00
aicreatbyme/FuzzingPaper
Recent Fuzzing Paper
0 0 00
aicreatbyme/miniftp
一个用c以及cpp写的简易的ftp服务器.
Language:C++0 0 00
aicreatbyme/MnasNet-PyTorch
A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
Language:Python0 0 00
aicreatbyme/MOpt-AFL
MOpt-AFL provided by the paper "MOPT: Optimized Mutation Scheduling for Fuzzers"
Language:C0 0 00
aicreatbyme/numpy-ml
Machine learning, in numpy
Language:Python0 0 00
aicreatbyme/PERIOD
[ICSE 2022] Controlled Concurrency Testing via Periodical Scheduling
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aicreatbyme/pyda-2e-zh
:book: [译] 利用 Python 进行数据分析 · 第 2 版
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aicreatbyme/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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aicreatbyme/qemu
Official QEMU mirror. Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.
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aicreatbyme/rust-course
“连续六年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程/书籍
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