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Sentence Transformers

Appears in 5 awesome lists

(from UKPLab) - Widely used encoders computing dense vector representations for sentences, paragraphs, and images.

Open github.comukplab/sentence-transformers

Found in these lists

Awesome Data Analysis

Section: Tools · Framework for state-of-the-art sentence and text embeddings.

FreshScore 80

awesome-huggingface

Section: Text Representation · (from UKPLab) - Widely used encoders computing dense vector representations for sentences, paragraphs, and images.

ArchivedScore 49

Awesome Linguistics

Section: Deep learning models and transformers

SlowScore 59

awesome-nlp

Section: Libraries · sentence/document embeddings, semantic search, and re-ranking; current standard for retrieval-style NLP.

FreshScore 90

Awesome Open Source AI

Section: 1. Core Frameworks & Libraries · Classic library for sentence and image embeddings.

FreshScore 89

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An open-source software library for advanced NLP in Python.

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Python framework for adversarial attacks, data augmentation, and model training in NLP. Augment datasets to increase model robustness and generate adversarial examples. MIT licensed.

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Stanford NLP Python library for 100+ human languages. State-of-the-art neural pipelines for tokenization, NER, parsing, and sentiment analysis with pre-trained models. Apache 2.0 licensed.

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💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

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Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.

In 4 listsDetails

Spark NLP

Spark NLP is a natural language processing library built on top of Apache Spark ML that provides simple, performant & accurate NLP annotations for machine learning pipelines that scale easily in a distributed environment.

In 4 listsDetails