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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
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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oqs-demos
PARTIALLY SUPPORTED Instructions for enabling the use of quantum-safe cryptography in assorted software using the OQS suite. CONTRIBUTORS WANTED.
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openfl
An open source library for creative expression on the web, desktop, mobile and consoles. Inspired by the classic Flash and AIR APIs.
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30DaysOfFLCode
A repo for collecting and aggregating FL resources during Openminded 30 Days of FL code event
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SaaSHub
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PySyft discussion
PySyft reviews and mentions
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Day 1 : Daily Notes for #30DayOfFLCode
PySyft: An open-source library developed by OpenMined that provides tools for building secure, privacy-preserving federated learning systems using PyTorch. Link
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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 | 19 May 2025
Stats
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.