Yang Cao (yangcao88)

yangcao88

Geek Repo

Company:Tokyo Institute of Technology

Location:Tokyo

Home Page:https://yangcao88.github.io/

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Yang Cao's starred repositories

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70多个国家的500多所大学用于教学。

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ailearning

AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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lihang-code

《统计学习方法》的代码实现

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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Lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

FATE

An Industrial Grade Federated Learning Framework

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differential-privacy

Google's differential privacy libraries.

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RecSys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

Awesome-Federated-Learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Awesome-Federated-Machine-Learning

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

awesome-papers-fewshot

Collection for Few-shot Learning

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Awesome-Privacy

Repository for collection of research papers on privacy.

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awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

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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kde

记录我的内核成长贡献之路。IMO, fork or clone this repo would be very stupid. If you have any questions, just send me an email.

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Awesome-ML-SP-Papers

A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

LDP_Protocols

Sample LDP implementation in Python

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awesome-Federated-Learning

federated-learning

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VoiceSens

A Voice Biometric Application using Watson Speech to Text

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FL-TEE

OLIVE: Oblivious and Differentially Private Federated Learning on TEE

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FL-attacks-papers

A list of papers using/about Federated Learning especially malicious client and attacks.

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TPL

Quantifying Differential Privacy under Temporal Correlations

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PGLP

PGLP

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idash-sgx-nn

Privacy-preserving Machine Learning as a Service on SGX

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tee-psi

prototype of tee-based private set intersection

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