Stars
This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Library for fast text representation and classification.
Topic modeling with latent Dirichlet allocation using Gibbs sampling
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Code samples used on cloud.google.com
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Classifying financial complaints into >400 categories, using Natural Language Processing (NLP) and deep-learning. Specifically, I explore the using of "topic embedding" (inspired by the InstaCart m…
An open-source NLP research library, built on PyTorch.
Machine-readable lists of lemma-token pairs in 23 languages.
An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
Concatenated Power Mean Embeddings as Universal Cross-Lingual Sentence Representations
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
💫 Industrial-strength Natural Language Processing (NLP) in Python
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Pre-trained word vectors of 30+ languages
Python scripts for training/testing paragraph vectors
Curated list of Linguistic Resources for doing NLP & CL on Spanish
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
The Standard Ebooks toolset for producing our ebook files.