scpy007 (Simon007-heiyewuxing)

Simon007-heiyewuxing

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Algorithm-Practice-in-Industry

搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)

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Awesome-AIGC-Tutorials

Curated tutorials and resources for Large Language Models, AI Painting, and more.

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Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

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awesome-differential-privacy

list of differential-privacy related resources

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Awesome-Differential-Privacy-and-Meachine-Learning

机器学习和差分隐私的论文笔记和代码仓

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Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

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Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

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awesome-java

A curated list of awesome frameworks, libraries and software for the Java programming language.

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Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

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Awesome-LLM-Learning

Learning Large Language Model (LLM)(大语言模型学习)

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awesome-vertical-federated-learning

A curated list of advancements in Vertical Federated Learning, frameworks and libraries.

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awesome-zero-knowledge-proofs

A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).

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BUAA_Course_Sharing

北京航空航天大学(北航)课程作业资料共享计划

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Differential-Privacy-Based-Federated-Learning

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

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awesome-llm-security

A curation of awesome tools, documents and projects about LLM Security.

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Awesome-Privacy

Repository for collection of research papers on privacy.

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Bayesian_DP

贝叶斯差分隐私 for ML

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Federated-Learning-Sparsification

The communication efficiency of federated learning is improved by sparsifying the parameters uploaded by the clients.

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FedPHE

Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning

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FedSiKD

we introduce FedSiKD, which incorporates knowledge distillation (KD) within a similarity-based federated learning framework

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key-book

《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。

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LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

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leetcode-master

《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

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LLM-Agent-Paper-List

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

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PFLlib

Personalized federated learning simulation platform with non-IID and unbalanced dataset

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PrivacyComputing-PaperList

This is a recommended paper list for the course of Privacy Computing.

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pytorch_federated_learning

PyTorch Federated Learning (easy to use and extend)

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StoCFL

Code for paper - Stochastic Clustered Federated Learning

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VFLAIR

THU-AIR Vertical Federated Learning general, extensible and light-weight framework

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