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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
mlops
ml-ops
awesome
data-mining
awesome-list
deep-learning
ml-operations
production-ml
explainability
large-scale-ml
responsible-ai
interpretability
machine-learning
privacy-preserving
privacy-preserving-ml
machine-learning-operations
production-machine-learning
large-scale-machine-learning
privacy-preserving-machine-learning
Created
2018-08-15
1,023 commits to master branch, last one 4 days ago
A curated list of awesome responsible machine learning resources.
r
xai
python
awesome
fairness
ai-safety
secure-ml
reliable-ai
awesome-list
data-science
transparency
explainable-ml
interpretability
interpretable-ai
interpretable-ml
machine-learning
interpretable-machine-learning
privacy-enhancing-technologies
machine-learning-interpretability
privacy-preserving-machine-learning
Created
2018-06-21
1,165 commits to master branch, last one 7 days ago
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Created
2019-10-19
131 commits to master branch, last one 7 months ago
Training PyTorch models with differential privacy
Created
2019-12-07
733 commits to main branch, last one 16 days ago
An Open Framework for Federated Learning.
fedavg
fedopt
openfl
python
fedcurv
fedprox
deep-learning
machine-learning
federated-learning
secure-computation
federated-analytics
distributed-learning
distributed-computing
collaborative-learning
federated-deep-learning
keras-federated-learning
pytorch-federated-learning
federated-learning-framework
tensorflow-federated-learning
privacy-preserving-machine-learning
Created
2021-01-12
913 commits to develop branch, last one 3 hours ago
A Privacy-Preserving Framework Based on TensorFlow
Created
2020-04-08
463 commits to master branch, last one 2 years ago
Privacy Testing for Deep Learning
Created
2020-05-22
190 commits to master branch, last one about a year ago
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Created
2020-06-12
166 commits to master branch, last one 2 years ago
Implementation of protocols in SecureNN.
Created
2019-02-20
9 commits to master branch, last one 2 years ago
Fast, memory-efficient, scalable optimization of deep learning with differential privacy
Created
2022-11-20
186 commits to main branch, last one 2 days ago
Piranha: A GPU Platform for Secure Computation
Created
2022-05-20
32 commits to main branch, last one 2 years ago
Implementation of protocols in Falcon
Created
2020-05-19
27 commits to master branch, last one 2 years ago
Advanced Privacy-Preserving Federated Learning framework
Created
2021-10-07
1,182 commits to main branch, last one 10 days ago
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
Created
2020-09-22
9 commits to master branch, last one 3 years ago
This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.
Created
2020-12-14
39 commits to main branch, last one 2 years ago
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
Created
2021-08-19
537 commits to master branch, last one about a year ago
[ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".
Created
2022-01-31
55 commits to master branch, last one 3 months ago
Privacy-Preserving Machine Learning (PPML) Tutorial
Created
2022-04-12
118 commits to main branch, last one 5 months ago
A library for statistically estimating the privacy of ML pipelines from membership inference attacks
Created
2022-08-03
29 commits to main branch, last one 8 months ago