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luckmonkeys's Projects

arxiv-daily icon arxiv-daily

🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)

autogluon icon autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-cheatsheets icon awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

breaching icon breaching

Breaching privacy in federated learning scenarios for vision and text

byteps icon byteps

A high performance and generic framework for distributed DNN training

chatroom icon chatroom

🎉简易Cli聊天室 - Python Socket实现

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

dlg icon dlg

[NeurIPS 2019] Deep Leakage From Gradients

effectivepython icon effectivepython

Effective Python: Second Edition — Source Code and Errata for the Book

fate icon fate

An Industrial Grade Federated Learning Framework

fedml icon fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

files icon files

A modern file manager that pushes the boundaries of the platform.

flash-linux0.11-talk icon flash-linux0.11-talk

你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

ggl icon ggl

A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".

hellogithub icon hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目

invertinggradients icon invertinggradients

Algorithms to recover input data from their gradient signal through a neural network

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