cuttle-cli
argilla
| cuttle-cli | argilla | |
|---|---|---|
| 9 | 15 | |
| 48 | 3,122 | |
| - | 2.3% | |
| 0.0 | 9.8 | |
| over 2 years ago | 2 days ago | |
| Python | Python | |
| 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.
cuttle-cli
- Magically generate an API project from your Python notebook without writing extra code
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Convert a Python Emotion Recognition Notebook into an API without extra code
Cuttle Website: cuttle.it Github: Emotion recognition API source Cuttle Source: Cuttle CLI Source
- Magically generate an API project from your Python notebook without writing extra code.
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)
What are some alternatives?
nannyml - nannyml: post-deployment data science in python
snorkel - A system for quickly generating training data with weak supervision
fastapi-template - Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
Emotion-Recognition-API
doccano - Open source annotation tool for machine learning practitioners.
go-unsplash - Go Client for the Unsplash API
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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]
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