ehsm VS napkinXC

Compare ehsm vs napkinXC and see what are their differences.

ehsm

An End-to-End Distributed and Scalable Cloud KMS (Key Management System) built on top of Intel SGX enclave-based HSM (Hardware Security Module), aka eHSM. (by intel)
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ehsm napkinXC
1 1
149 58
-0.7% -
8.1 6.7
2 days ago 3 months ago
C++ C++
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

ehsm

Posts with mentions or reviews of ehsm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-12.
  • New Intel chips won't play Blu-ray disks due to SGX deprecation
    2 projects | news.ycombinator.com | 12 Aug 2022
    * dynamic HSM (https://github.com/intel/ehsm)

    * machine learning in tandem with GPUs https://azure.microsoft.com/en-us/blog/azure-confidential-co...

    * autonomous key management (https://docs.oasis.dev/general/oasis-network/overview#privac...)

    * signal contact discovery (https://signal.org/blog/private-contact-discovery/)

    Many of these will also work with next-gen enclave tech (mainly in the direction of total VM encryption), but those aren’t as secure as SGX yet, so SGX has continued utility to applications beyond DRM.

napkinXC

Posts with mentions or reviews of napkinXC. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-06.
  • Predicting numerical values to a very high accuracy
    2 projects | /r/MLQuestions | 6 Dec 2021
    If you only have 198 possible values then extreme multiclass models might benefit here with better precision and faster convergence. For example probabilistic label trees might have some relevance. Vowpal Wabbit also has specific reductions for extreme multi class problems. Might be worth a try if other alternatives still don't work out.

What are some alternatives?

When comparing ehsm and napkinXC you can also consider the following projects:

awesome-iam - 👤 Identity and Access Management knowledge for cloud platforms

hsm - C++ framework library to simplify state-driven code

vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

cryfs - Cryptographic filesystem for the cloud

tensorflow - An Open Source Machine Learning Framework for Everyone

lizardfs - LizardFS is an Open Source Distributed File System licensed under GPLv3.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

securefs - Filesystem in userspace (FUSE) with transparent authenticated encryption

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

blockchain-crypto-mpc - Protecting cryptographic signing keys and seed secrets with Multi-Party Computation.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration