argilla
concise-concepts
Our great sponsors
| argilla | concise-concepts | |
|---|---|---|
| 15 | 1 | |
| 3,108 | 240 | |
| 5.5% | 1.3% | |
| 9.8 | 2.5 | |
| 2 days ago | 10 months ago | |
| Python | Python | |
| Apache License 2.0 | 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.
argilla
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Open-Source Data Collection Platform for LLM Fine-Tuning and RLHF
I'm Dani, CEO and co-founder of Argilla.
Happy to answer any questions you might have and excited to hear your thoughts!
More about Argilla
GitHub: https://github.com/argilla-io/argilla
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Meet Argilla: An Open-Source Data Curation Platform for Large Language Models (LLMs) and MLOps for Natural Language Processing
Github link: https://github.com/argilla-io/argilla
- Show HN: Argilla and AutoTrain – Train custom NLP models without code
- Rubrix release 0.17.0 with support for the spaCy training format
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No training data, no problem! Few-shot NER with a practical example
Rubrix, the open-source tool for data-centric NLP: https://github.com/recognai/rubrix
- [D] Expert Advice is needed on designing a feedback Loop for a (Textual Classification + NER) task in Production.
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[D] How should a former Web Developer, pursue career in Machine Learning?
E.g. https://github.com/recognai/rubrix
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[P] Small-Text: Active Learning for Text Classification in Python
I have already thought about providing an example of how to integrate small-text with one of the existing labeling tools, such as rubrix rubrix, but that hasn't been started yet.
- Finding and correcting text classification label errors with cleanlab and Rubrix | https://rubrix.readthedocs.io/en/master/tutorials/find_label_errors.html
- Rubrix: Open-source tool for building NLP training sets (now with weak supervision)
concise-concepts
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No training data, no problem! Few-shot NER with a practical example
Concise-concepts, few-shot NER for spaCy: https://github.com/Pandora-Intelligence/concise-concepts
What are some alternatives?
snorkel - A system for quickly generating training data with weak supervision
huspacy - HuSpaCy: industrial-strength Hungarian natural language processing
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
magnitude - A fast, efficient universal vector embedding utility package.
doccano - Open source annotation tool for machine learning practitioners.
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
data-centric-ai - Resources for Data Centric AI
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
skweak - skweak: A software toolkit for weak supervision applied to NLP tasks
dataqa - Labelling platform for text using weak supervision.
weasel - Weakly Supervised End-to-End Learning (NeurIPS 2021)