derekozhang Goto Github PK
Type: User
Type: User
reproduces results in paper "Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference"
:books: Books worth reading
experiments of correlated differential privacy with feature reduction
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Toturial coming with "data science roadmap" graphe.
Diffprivlib: The IBM Differential Privacy Library
Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
Compilation of resources and insights that helped me on my journey to data scientist
My solution to the book A Collection of Data Science Take-Home Challenges
Example code for Fluent Python, 2nd edition (O'Reilly, 2021)
The world's simplest facial recognition api for Python and the command line
Recognize and blur all face in photo
收集的前端面试题和答案
Feature selector is a tool for dimensionality reduction of machine learning datasets
Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The repository tutorial for using PySyft for distributed training of Machine Learning model.
A Keras implementation of FederatedAvergaing [McMahan, Brendan, et al. 2017] and Lazily Aggregated Stochastic Gradients [Chen, Tianyi, Yuejiao Sun, and Wotao Yin. 2020]
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
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)
pytorch implementation of gender classification and real-time gender classification
总结一下面试常考的算法题,希望可以帮助每一位想要提升自己面试能力的同学。对于每一道算法题会总结代码、时间复杂度以及一些好的blog
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
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]
Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
马云云在Github的学习片段
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.