AugLy
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| AugLy | 0xDeCA10B | |
|---|---|---|
| 14 | 3 | |
| 4,898 | 547 | |
| 0.5% | 1.3% | |
| 6.0 | 0.0 | |
| 28 days ago | 9 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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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Meta's A.I. exodus: Top talent quits as lab tries to keep pace with rivals
Their recent effort to generate training data for spotting stuff that includes unsanctioned narratives comes to mind. https://github.com/facebookresearch/AugLy
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Next steps for after classification
Data augmentation is usually helpful: https://github.com/facebookresearch/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
- Augly - An augmentation library for audio, image, video, and text from facebook
- [D] What's the best method to generate synthetic data for an image with text? Small dataset
- AugLy is opensourse now.
- Facebook is open-sourcing AugLy, a library that uses data augmentations to evaluate and improve ML models
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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/
0xDeCA10B
- A Better Mastodon Client
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Discussion Thread
Between this, their blockchain-based machine learning sharing system and their recent patent for a cryptocurrency mined using your brain activity, it seems like Microsoft is really going hard on crypto lately.
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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.
What are some alternatives?
imgaug - Image augmentation for machine learning experiments.
pyteal - Algorand Smart Contracts in Python
speechbrain - A PyTorch-based Speech Toolkit
PySyft - Perform data science on data that remains in someone else's server
Lixur - Lixur is an open-sourced project that seeks to build a scalable, feeless, decentralized, quantum-secure, and easy-to-use blockchain with smart, and intelligent (A.I.) contract functionality.
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
river - 🌊 Online machine learning in Python
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
GPT2-api - 🤖 (Easily) run your own GPT-2 API. Post writing prompts, get AI-generated responses