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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
796 commits to master branch, last one about a month 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
1,043 commits to master branch, last one a day ago
Training PyTorch models with differential privacy
Created
2019-12-07
714 commits to main branch, last one 12 hours 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 about a month 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
632 commits to develop branch, last one 10 days 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 11 months 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 about a year ago
Piranha: A GPU Platform for Secure Computation
Created
2022-05-20
32 commits to main branch, last one about a year ago
Implementation of protocols in Falcon
Created
2020-05-19
27 commits to master branch, last one about a year ago
Fast, memory-efficient, scalable optimization of deep learning with differential privacy
Created
2022-11-20
170 commits to main branch, last one 28 days ago
Advanced Privacy-Preserving Federated Learning framework
Created
2021-10-07
1,013 commits to main branch, last one a day 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 about a year ago
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
Created
2021-08-19
537 commits to master branch, last one 11 months ago
Privacy-Preserving Machine Learning (PPML) Tutorial
Created
2022-04-12
117 commits to main branch, last one 3 days 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
53 commits to master branch, last one about a month ago