vincentliuheyang

ColossalAI

Making large AI models cheaper, faster and more accessible

FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

jpype

JPype is cross language bridge to allow Python programs full access to Java class libraries.

swarm_learning

Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020

Python

All Algorithms implemented in Python

ZoKrates

A toolbox for zkSNARKs on Ethereum

federated

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

cryptofish

Collectible crypto-fish on antchain, powered by myfish.

SEAL

Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

model_sharing_games

Supporting code for https://arxiv.org/abs/2010.00753.

KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE

optuna

A hyperparameter optimization framework

darts

Differentiable architecture search for convolutional and recurrent networks

DensityPeakCluster

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

AIX360

Interpretability and explainability of data and machine learning models

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

slalom

Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

PyDP

The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

libsvmdata

Python package to fetch data from the LIBSVM website.

openzeppelin-contracts

OpenZeppelin Contracts is a library for secure smart contract development.

fedlearner

A multi-party collaborative machine learning framework

neural-structured-learning

Training neural models with structured signals.

nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

FedGraphNN

FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

awesome-secure-computation

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

neural-astar

Official implementation of "Path Planning using Neural A* Search" (ICML-21)

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

VBFL