PERSIA
bastionlab
| PERSIA | bastionlab | |
|---|---|---|
| 3 | 3 | |
| 383 | 167 | |
| 1.3% | 1.2% | |
| 0.0 | 5.1 | |
| 3 months ago | 7 months ago | |
| Rust | Rust | |
| MIT License | 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.
PERSIA
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Researchers Introduce ‘PERSIA’: A PyTorch-Based System for Training Large Scale Deep Learning Recommendation Models up to 100 Trillion Parameters
Github: https://github.com/persiaml/persia
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[R] Kwai, Kuaishou & ETH Zürich Propose PERSIA, a Distributed Training System That Supports Deep Learning-Based Recommenders of up to 100 Trillion Parameters
Code for https://arxiv.org/abs/2111.05897 found: https://github.com/PersiaML/Persia
The code is available on the project’s GitHub. The paper PERSIA: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters is on arXiv.
bastionlab
- BastionLab: A privacy-by-design DataFrame library
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Introducing BastionLab - Collaborate with our simple privacy framework for data visualization!
To see what plotting looks like when privacy issues are automatically handled for you, you can check our GitHub or directly go to our Visualization tutorial 📊
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Introducing BastionLab - A simple privacy framework for data science collaboration!
🔥 We’re thrilled to introduce BastionLab, our simple privacy framework for data science collaboration! To see what remote data exploration looks like when all privacy concerns are automatically handled for you, you can check our GitHub or directly go to our Quick Tour tutorial, which is also available on Colab 🔒
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ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
bagua - Bagua Speeds up PyTorch
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serenade - Session-based recommender system: Serenade