AugLy
PySyft
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AugLy | PySyft | |
---|---|---|
14 | 7 | |
4,890 | 9,199 | |
0.5% | 0.8% | |
6.0 | 10.0 | |
8 days ago | 2 days 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.
AugLy
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The hand-picked selection of the best Python libraries released in 2021
AugLy.
- Prefer volume or quality for BERT-based Text classification model
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[D] What's the best method to generate synthetic data for an image with text? Small dataset
I’m sure there are plenty of other specialized libraries out there, including FB’s AugLy.
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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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[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models
Facebook Blog: https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/
Github: https://github.com/facebookresearch/AugLy
PySyft
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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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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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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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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
What are some alternatives?
imgaug - Image augmentation for machine learning experiments.
fastai - The fastai deep learning library
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
AIDungeon - Infinite adventures await!
openfl - An open framework for Federated Learning.
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Watermark-Removal-Pytorch - 🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.
unix-history-repo - Continuous Unix commit history from 1970 until today
speechbrain - A PyTorch-based Speech Toolkit
river - 🌊 Online machine learning in Python
common-voice - Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
QuantumKatas - Tutorials and programming exercises for learning Q# and quantum computing