mary-python Goto Github PK

alive-progress

A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

analytic-gaussian-mechanism

Analytic calibration for differential privacy with Gaussian perturbations

autodp

autodp: A flexible and easy-to-use package for differential privacy

awesome-ml-privacy-attacks

An awesome list of papers on privacy attacks against machine learning

clustered-federated-learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

concrete-ml

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.

d3p

An implementation of the differentially private variational inference algorithm for NumPyro.

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

dprio

etio

Causal Reasoning for Membership Inference Attacks

fairlearn

A Python package to assess and improve fairness of machine learning models.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

fedacs

federated

A framework for implementing federated learning

federated-1

A collection of Google research projects related to Federated Learning and Federated Analytics.

fedscale

FedScale: Benchmarking Model and System Performance of Federated Learning

flash

flower

Flower: A Friendly Federated Learning Framework

hdf5-femnist

The project provides a handy tools to split the NIST dataset into FEMNIST and enable fast load via HDF5 format.

jax_privacy

Algorithms for Privacy-Preserving Machine Learning in JAX

leaf

Leaf: A Benchmark for Federated Settings

manim

Animation engine for explanatory math videos

manim-1

A community-maintained Python framework for creating mathematical animations.

mary-python.github.io

Creating my academic personal website using academicpages

mico

Membership Inference Competition

ml-flair

modin

Modin: Scale your Pandas workflows by changing a single line of code

msrflute

Federated Learning Utilities and Tools for Experimentation

multi-freq-ldpy

Multiple Frequency Estimation Under Local Differential Privacy in Python

opacus

Training PyTorch models with differential privacy