concise-concepts VS magnitude

Compare concise-concepts vs magnitude 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)
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concise-concepts magnitude
1 5
240 1,611
0.8% 0.1%
2.5 0.0
11 months ago 9 months ago
Python Python
MIT License MIT License
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.

magnitude

Posts with mentions or reviews of magnitude. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-23.

What are some alternatives?

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

huspacy - HuSpaCy: industrial-strength Hungarian natural language processing

flashtext - Extract Keywords from sentence or Replace keywords in sentences.

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

faiss - A library for efficient similarity search and clustering of dense vectors.

pgvector - Open-source vector similarity search for Postgres

finalfusion-rust - finalfusion embeddings in Rust

Milvus - A cloud-native vector database, storage for next generation AI applications

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.

pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Romanian-Word-Embeddings - Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).

sentence-transformers - Multilingual Sentence & Image Embeddings with BERT