mary-python Goto Github PK
Name: Mary Scott
Type: User
Company: Department of Computer Science, University of Warwick
Bio: PhD Student in Computer Science at University of Warwick, researching Differential Privacy.
Location: Oxford, UK
Name: Mary Scott
Type: User
Company: Department of Computer Science, University of Warwick
Bio: PhD Student in Computer Science at University of Warwick, researching Differential Privacy.
Location: Oxford, UK
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
Analytic calibration for differential privacy with Gaussian perturbations
autodp: A flexible and easy-to-use package for differential privacy
An awesome list of papers on privacy attacks against machine learning
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Concrete-ML is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists. Particular care was given to the simplicity of our Python package in order to make it usable by any data scientist, even those without prior cryptography knowledge.
An implementation of the differentially private variational inference algorithm for NumPyro.
Diffprivlib: The IBM Differential Privacy Library
Causal Reasoning for Membership Inference Attacks
A Python package to assess and improve fairness of machine learning models.
A MNIST-like fashion product database. Benchmark :point_down:
A framework for implementing federated learning
A collection of Google research projects related to Federated Learning and Federated Analytics.
FedScale: Benchmarking Model and System Performance of Federated Learning
Flower: A Friendly Federated Learning Framework
The project provides a handy tools to split the NIST dataset into FEMNIST and enable fast load via HDF5 format.
Algorithms for Privacy-Preserving Machine Learning in JAX
Leaf: A Benchmark for Federated Settings
Animation engine for explanatory math videos
A community-maintained Python framework for creating mathematical animations.
Creating my academic personal website using academicpages
Membership Inference Competition
Modin: Scale your Pandas workflows by changing a single line of code
Federated Learning Utilities and Tools for Experimentation
Multiple Frequency Estimation Under Local Differential Privacy in Python
Training PyTorch models with differential privacy
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.