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91 天学算法第五期打卡
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Learning rate adaptation for differentially private stochastic gradient descent
毕设以及研究生期间的研究方向:数据学习模型(Machine Learning & Deep Learning)中的安全和隐私保护问题
Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
A beautiful, simple, clean, and responsive Jekyll theme for academics
专门为刚开始刷题的同学准备的算法基地,没有最细只有更细,立志用动画将晦涩难懂的算法说的通俗易懂!
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning
A lightweight accelerated proximal-gradient package for matlab
📚 Papers by organizations sharing their work on applied data science & machine learning.
A little Python script to collect LaTeX sources for upload to the arXiv.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Simple scripts to convert and put papers onto Kindle
Code for Auditing DPSGD
Code accompanying the NeurIPS 2019 paper AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.
autodp: A flexible and easy-to-use package for differential privacy
LSTM and QRNN Language Model Toolkit for PyTorch
算法工程师(人工智能CV方向)面试问题及相关资料
Creating presentation slides by using Beamer in LaTeX.
resources about federated learning and privacy in machine learning
A collection of research papers categorized into broad topics in federated learning.
federated learning on graph, especially on graph neural networks (GNNs)
Reinforcement learning resources curated
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.