Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Stars: ✭ 360 (+510.17%)

Mutual labels: information-retrieval, text-classification

Dan Jurafsky Chris Manning Nlp

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Stars: ✭ 124 (+110.17%)

Mutual labels: information-retrieval, text-classification

Catalyst

Accelerated deep learning R&D

Stars: ✭ 2,804 (+4652.54%)

Mutual labels: information-retrieval, text-classification

Rmdl

RMDL: Random Multimodel Deep Learning for Classification

Stars: ✭ 375 (+535.59%)

Mutual labels: information-retrieval, text-classification

Sequence Semantic Embedding

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Stars: ✭ 435 (+637.29%)

Mutual labels: information-retrieval, text-classification

Easy Deep Learning With Allennlp

🔮Deep Learning for text made easy with AllenNLP

Stars: ✭ 32 (-45.76%)

Mutual labels: text-classification

Hiagm

Hierarchy-Aware Global Model for Hierarchical Text Classification

Stars: ✭ 49 (-16.95%)

Mutual labels: text-classification

Few Shot Text Classification

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Stars: ✭ 32 (-45.76%)

Mutual labels: text-classification

Bert Toxicity Classification

bert on Jigsaw Unintended Bias in Toxicity Classification

Stars: ✭ 46 (-22.03%)

Mutual labels: text-classification

Omnicat Bayes

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Stars: ✭ 30 (-49.15%)

Mutual labels: text-classification

Ml Classify Text Js

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Stars: ✭ 38 (-35.59%)

Mutual labels: text-classification

Domain discovery tool

This repository contains the Domain Discovery Tool (DDT) project. DDT is an interactive system that helps users explore and better understand a domain (or topic) as it is represented on the Web.

Stars: ✭ 33 (-44.07%)

Mutual labels: information-retrieval

Textclassification

All kinds of neural text classifiers implemented by Keras

Stars: ✭ 51 (-13.56%)

Mutual labels: text-classification

Nprf

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval

Stars: ✭ 31 (-47.46%)

Mutual labels: information-retrieval

Very Deep Convolutional Networks For Natural Language Processing In Tensorflow

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Stars: ✭ 54 (-8.47%)

Mutual labels: text-classification

Nlp xiaojiang

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification），实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

Stars: ✭ 954 (+1516.95%)

Mutual labels: text-classification

Textclassifier

Text classifier for Hierarchical Attention Networks for Document Classification

Stars: ✭ 985 (+1569.49%)

Mutual labels: text-classification

Text Classification Keras

📚 Text classification library with Keras

Stars: ✭ 53 (-10.17%)

Mutual labels: text-classification

View All Similar Projects ➔

|logo1|

.. |logo1| image:: https://freediscovery.github.io/static/freediscovery-full-logo-v2.png :scale: 80 %

.. image:: https://img.shields.io/pypi/v/freediscovery.svg :target: https://pypi.python.org/pypi/freediscovery

.. image:: https://anaconda.org/conda-forge/freediscovery/badges/version.svg :target: https://github.com/conda-forge/freediscovery-feedstock

.. image:: https://travis-ci.org/FreeDiscovery/FreeDiscovery.svg?branch=master :target: https://travis-ci.org/FreeDiscovery/FreeDiscovery

.. image:: https://ci.appveyor.com/api/projects/status/w5kjscmqlrlehp5t/branch/master?svg=true :target: https://ci.appveyor.com/project/FreeDiscovery/freediscovery/branch/master

.. image:: https://codecov.io/gh/FreeDiscovery/FreeDiscovery/branch/master/graph/badge.svg :target: https://codecov.io/gh/FreeDiscovery/FreeDiscovery

FreeDiscovery is an open source e-Discovery and information retrieval engine. It is based on the scikit-learn library and has two main components,

FreeDiscovery Engine provides a REST API for information retrieval applications. It aims to benefit existing e-Discovery and information retrieval platforms with a focus on text categorization, semantic search, document clustering, duplicates detection and e-mail threading.

See freediscovery.io/doc/stable/engine <http://freediscovery.io/doc/stable/engine/>_
FreeDiscovery Core is a Python package that extends scikit-learn with additional information retrieval functionality.

See freediscovery.io/doc/stable/python <http://freediscovery.io/doc/stable/python/>_

FreeDiscovery is released under the 3-clause BSD licence.

|logo2| |logo3|

.. |logo2| image:: https://freediscovery.github.io/static/grossmanlabs-old-logo-small.gif :target: http://www.grossmanlabs.com/

.. |logo3| image:: https://freediscovery.github.io/static/1D_logo_stacked.png :target: https://www.onediscovery.com/

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].

Stars: ✭ 59

Visit Git Page 🔗Visit User Page 🔗Visit Issues Page (30) 🔗