horovod
tf-encrypted
| horovod | tf-encrypted | |
|---|---|---|
| 1 | 2 | |
| 11,889 | 1,192 | |
| - | 0.5% | |
| 9.4 | 0.0 | |
| over 2 years ago | 7 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
horovod
-
[P] Cost of distributed deep learning on AWS
Code for https://arxiv.org/abs/1802.05799 found: https://github.com/uber/horovod
tf-encrypted
- What are the technologies to keep the data secure when it's aggregated from multiple sources?
-
Facebook is reportedly trying to analyze encrypted data without deciphering it
There is a TF package for learning on encrypted data. Not familiar with the details or encryption algos supported.
https://github.com/tf-encrypted/tf-encrypted
What are some alternatives?
rxray - Ray distributed computing integration for RxPY
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
Differential-Privacy-Guide - Differential Privacy Guide
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
ray_snowflake - Ray Data Connector for Snowflake
openfl - An open framework for Federated Learning.
client - DagsHub client libraries
privacy - Library for training machine learning models with privacy for training data
deep-significance - Enabling easy statistical significance testing for deep neural networks.
mia - A library for running membership inference attacks against ML models