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sefh

Hungarian search engine

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

senteval

A python tool for evaluating the quality of sentence embeddings.

seq2seq-chainer

seq2seq-lemmatization

Seq2seq lemmatization experiments

seqmod

Sequence modelling with pytorch

setup.py

📦 A Human's Ultimate Guide to setup.py.

shallowlearn

A collection of supervised learning models based on shallow neural network approaches (e.g., word2vec and fastText) with some additional exclusive features. Written in Python and fully compatible with Scikit-learn.

simhash-py

Simhash and near-duplicate detection

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spacy-benchmarks

💫 Runtime performance comparison of spaCy against other NLP libraries

spacy-dbpedia-spotlight

A spaCy wrapper for DBpedia Spotlight

spacy-dev-resources

💫 Scripts, tools and resources for developing spaCy

spacy-experimental

🧪 Cutting-edge experimental spaCy components and features

spacy-streamlit

👑 spaCy building blocks and visualizers for Streamlit apps

spacy-tokenizer-benchmark

Quick and dirty scripts to measure the performance of spaCy

talks

texconverter

Convert your Google Docs to TeX

text

Data loaders and abstractions for text and NLP

textacy

higher-level NLP built on Spacy

textblob-aptagger

A fast and accurate part-of-speech tagger for TextBlob.

the-nlp-pandect

A comprehensive reference for all topics related to Natural Language Processing

umbel

UMBEL (Upper Mapping and Binding Exchange Layer) has two purposes. Its first purpose is to provide a general vocabulary (the UMBEL "vocabulary") of classes and predicates for describing domain ontologies, with the specific aim of promoting interoperability with external datasets and domains. The second purpose is to provide a coherent framework of broad subjects and topics (the UMBEL "reference concepts"), suitable as binding nodes for mapping relevant Web-accessible content, also with the specific aim of promoting interoperability and to reason over a coherent reference structure and its linked resources. UMBEL presently has about 28,000 of these reference concepts drawn from the Cyc knowledge base, which are organized into more than 30 mostly disjoint SuperTypes.

wapiti

A simple and fast discriminative sequence labeling toolkit ( http://wapiti.limsi.fr )

wiki2vec

Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps

winplacement

Window placement