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PySyft Alternatives
Similar projects and alternatives to PySyft
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common-voice
Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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99-ML-Learning-Projects
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
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oqs-demos
Instructions for enabling the use of quantum-safe cryptography in assorted software using the OQS suite
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better PySyft alternative or higher similarity.
PySyft reviews and mentions
Posts with mentions or reviews of PySyft.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-21.
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A Better Mastodon Client
https://github.com/OpenMined/PySyft - Federated Learning data science
Incentives are much harder but smart contracts can handle the tech part.
Going this route eventually you quickly have "quantum AI app store" and your system of government is a 12GB download. Can't even say if it's a good idea compared to e.g. anarcho-primitivism.
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Just about conspirancy theories... Can you say this guy isn't rigth?
Something that maybe can help keeping sensor specs secret while still getting critical information out: https://github.com/OpenMined/PySyft
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I made a YT video showing how to host your own super accurate (microsecond) network time (NTP) server using the PPS output of a $12 GPS module
Love this kind of project. To me this is just like https://github.com/open-quantum-safe/oqs-demos/ or https://github.com/OpenMined/PySyft or even k3s so often mentioned in this sub in the sense that I personally don't have a need for it. Yet I find it amazing that us, random curious geeks, have access to this kind of mind blowing technologies for basically free.
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Help on creating a Federated Recommender System
Or do I have to actually simulate the whole client server thing because thats how these frameworks do it - Flower and Pysyft .
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Integration test: Complexity of privacy-preserving bird call bio-sensor for distributed ecological monitoring?
Some of the technologies which could be integrated include differential privacy, distributed online machine learning, misinformation resilience and multi-party computation, all within the context of smart contracts and bioinformatics.
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Google Strikes Deal With Hospital Chain to Develop Healthcare Algorithms
I think this is how it will be done. Look up PySift for how we can extract high-level insights from private datasets while preserving granular privacy.
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Is it even possible to have a service as "intelligent" as Google while still being privacy respecting?
What you are talking about is privacy-focused fed ML. Google FLOC is actually trying to achieve something similar. If you are interested in building something for yourself, check this out. https://github.com/OpenMined/PySyft
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A note from our sponsor - SaaSHub
www.saashub.com | 25 Apr 2024
Stats
Basic PySyft repo stats
7
9,253
10.0
1 day ago
OpenMined/PySyft is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of PySyft is Python.
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