concise-concepts VS argilla

Compare concise-concepts vs argilla and see what are their differences.

concise-concepts

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring. (by davidberenstein1957)

argilla

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. (by argilla-io)
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concise-concepts argilla
1 15
240 3,122
0.8% 1.9%
2.5 9.8
11 months ago about 20 hours ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

concise-concepts

Posts with mentions or reviews of concise-concepts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-10.

argilla

Posts with mentions or reviews of argilla. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-05.

What are some alternatives?

When comparing concise-concepts and argilla you can also consider the following projects:

huspacy - HuSpaCy: industrial-strength Hungarian natural language processing

snorkel - A system for quickly generating training data with weak supervision

magnitude - A fast, efficient universal vector embedding utility package.

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

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)