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code-kern-ai avatar

code-kern-ai/refinery

0
View on GitHub↗
1,470 estrellas·73 forks·Python·Apache-2.0·2 vistaswww.kern.ai↗

Refinery

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

Features

  • Text Annotation Tools - Tool for scaling and maintaining natural language data for scientists.
  • Data Annotation and Synthesis - Tool for scaling and maintaining natural language datasets.

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Alternativas open-source a Refinery

Proyectos open-source similares, clasificados según cuántas características comparten con Refinery.
  • doccano/doccanoAvatar de doccano

    doccano/doccano

    10,674Ver en GitHub↗

    Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a web-based interface for teams to import raw text, mark datasets, and export structured annotations for model training. The project specifically supports text annotation for classification and named entity recognition tasks. It enables teams to coordinate multiple users on a single project to maintain consistent labeling guidelines and increase the speed of dataset creation. The system includes tools for data management and team coordination, providing the ability to import raw data

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  • chakki-works/doccanoAvatar de chakki-works

    chakki-works/doccano

    10,687Ver en GitHub↗

    Doccano is a collaborative labeling platform and text annotation tool designed to create training data for machine learning. It provides a specialized interface for performing sequence labeling and text classification on natural language datasets. The system functions as a supervised learning dataset manager, allowing multiple users to coordinate within a shared workspace to label datasets for natural language processing tasks. It supports the preparation of raw text data for model training by converting unstructured documents into structured labeled examples. The platform includes capabilit

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  • batsresearch/nplmAvatar de BatsResearch

    BatsResearch/nplm

    16Ver en GitHub↗

    Welcome to NPLM (Noisy Partial Label Model), a programmatic weak supervision system that supports (partial) labeling functions with supervision granuarity ranging from class to a set of classes.

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  • autonlab/weaselAvatar de autonlab

    autonlab/weasel

    155Ver en GitHub↗

    This is a PyTorch-Lightning-based framework, based on our End-to-End Weak Supervision paper (NeurIPS 2021), that allows you to train your favorite neural network for weakly-supervised classification 1

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Ver las 30 alternativas a Refinery→

Preguntas frecuentes

¿Qué hace code-kern-ai/refinery?

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

¿Cuáles son las características principales de code-kern-ai/refinery?

Las características principales de code-kern-ai/refinery son: Text Annotation Tools, Data Annotation and Synthesis.

¿Qué alternativas de código abierto existen para code-kern-ai/refinery?

Las alternativas de código abierto para code-kern-ai/refinery incluyen: doccano/doccano — Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a… chakki-works/doccano — Doccano is a collaborative labeling platform and text annotation tool designed to create training data for machine… batsresearch/nplm — Welcome to NPLM (Noisy Partial Label Model), a programmatic weak supervision system that supports (partial) labeling… cleanlab/cleanlab — Cleanlab is a data-centric AI library and toolkit designed to improve machine learning model performance by detecting… cogcomp/talen — -->. autonlab/weasel — This is a PyTorch-Lightning-based framework, based on our End-to-End Weak Supervision paper (NeurIPS 2021), that…