pymilo
osdg-tool
| pymilo | osdg-tool | |
|---|---|---|
| 2 | 3 | |
| 121 | 36 | |
| 17.4% | - | |
| 7.9 | 0.0 | |
| 2 days ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU Lesser General Public License v3.0 only |
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pymilo
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[P] Request to Test PyMilo: A New Python Library for Machine Learning I/O
GitHub Repo: https://github.com/openscilab/pymilo
- PyMilo: New Python Library for ML I/O
osdg-tool
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[D] Any ideas for an NLP classifier for which I don't have any ground truth?
I've worked with Sustainable Development Goals classifier but I already had some tags(https://github.com/osdg-ai/osdg-tool/blob/pre-release/osdg/core/sdg/data_files/OSDG-kw-mapping.json) so I was able to perform word matching. But in this case, I don't have any kind of data. Is anyone aware of any pre-trained model, dataset, or any of that sort that could help me build a model?
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OSDG Community Dataset | First results of a citizen science initiative on UN SDGs
This datasets is made possible because of a large community effort. We would be glad to see your contribution to the project too. You can join our Community Platform to help us collect more labelled data. If you have a more technical background, you can also contribute to the OSDG Labelling Tool here. If you want to contribute to the project in some other way, do let us know via this contact form.
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First results of a fully-online citizen science initiative on UN SDGs
Today we are sharing the OSDG Community Dataset (OSDG-CD), a direct result of the work of hundreds of volunteers who have contributed to our understanding of the SDGs. It contains thousands of text excerpts which were labelled by the community volunteers with respect to SDGs. For each piece of text, the suggested label was also validated by the OSDG Labelling Tool (OSDG-LT).
What are some alternatives?
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taxonomy4good - Taxonomy4Good: a sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed ESG and Sustainability Standards taxonomies.
superduperdb - 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
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polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
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]
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
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