privacy
Privacy library
A Python library for training machine learning models while preserving the privacy of sensitive data
Library for training machine learning models with privacy for training data
2k stars
60 watching
453 forks
Language: Python
last commit: almost 2 years agoLinked from 3 awesome lists
machine-learningprivacy
ethicalml/awesome-production-machine-learning
kelvins/awesome-mlops
jphall663/awesome-machine-learning-interpretabilityRelated projects:
| Repository | Description | Stars |
|---|---|---|
 privacytrustlab/ml_privacy_meter | An auditing tool to assess the privacy risks of machine learning models | 613 |
| tensorflow/mesh | A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology. | 1,597 |
| tensorflow/haskell | Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language. | 1,583 |
| tensorflow/metadata | Standardizes metadata formats for machine learning models. | 107 |
| tensorflow/tensorflow | An end-to-end platform for building and deploying machine learning applications | 186,822 |
 tf-encrypted/tf-encrypted | Enables secure machine learning computations in TensorFlow without requiring expertise in cryptography or distributed systems. | 1,213 |
| tensorflow/data-validation | A library for exploring and validating machine learning data in TensorFlow | 766 |
 google-research/tf-slim | A lightweight library for defining and training neural networks in TensorFlow. | 373 |
 eaplatanios/tensorflow_scala | A Scala API for TensorFlow's deep learning functionality | 939 |
 pytorch/opacus | Enables training of neural networks with differential privacy | 1,730 |
 leopiney/tensor-safe | A Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras. | 101 |
| tensorflow/model-analysis | Evaluates and visualizes the performance of machine learning models. | 1,258 |
| tensorflow/tfjs | An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. | 18,533 |
 abhinav-bohra/privacy-preserving-ml | Implementing an SVM model to make predictions on encrypted data while preserving the client's privacy | 1 |
| tensorflow/text | Preprocessing and processing tools for text data in machine learning models | 1,239 |