QDrant-NLP VS small-text

Compare QDrant-NLP vs small-text and see what are their differences.

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QDrant-NLP small-text
1 4
11 520
- 1.2%
10.0 7.6
over 1 year ago 2 days ago
Python Python
- 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.

QDrant-NLP

Posts with mentions or reviews of QDrant-NLP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-26.
  • Vector Databases for Data-Centric AI (Part 2)
    3 projects | dev.to | 26 Aug 2022
    Just clone the repo QDrant-NLP and run: docker-compose up I would like to increase the number of datasets this can be tried on, either with GPU backed lambda functions or by saving many example datasets to S3. So far I've only made a 6K subset of ag_news available. ag_news · Datasets at Hugging Face This is the code snippet used to generate the embeddings via hugging-face:

small-text

Posts with mentions or reviews of small-text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-06.

What are some alternatives?

When comparing QDrant-NLP and small-text you can also consider the following projects:

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

NeoGPT - Your Local AI Assistant: Seamlessly Chat, Execute Commands, and Interpret Code with Local Models for Ultimate Privacy.

happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

fiftyone - The open-source tool for building high-quality datasets and computer vision models

NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

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

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.

automl-docker - CLI-based tool to automatically build ML models from training data into a servable Docker container

DECIMER-Image_Transformer - DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer

MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.