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Stanford CoreNLP: A Java suite of core NLP tools.

Papers & presentations from Hugging Face's weekly science day

Ongoing research training transformer language models at scale, including: BERT & GPT-2

Mirror of Apache Tika

📊 Cube.js - Open Source Analytics Framework

Vert.x is a tool-kit for building reactive applications on the JVM

Visually Explore the Stanford Question Answering Dataset

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Minimal code to work with pre-trained ELMo models in TensorFlow

Interface for easier topic modelling.

Web-ify your word2vec: framework to serve distributional semantic models online

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Unsupervised text tokenizer for Neural Network-based text generation.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Vert.x web and commandline application to import CSV/XLS/XLSX files into ElasticSearch.

undatum: a command-line tool for data processing. Brings CSV simplicity to JSON lines and BSON

TensorFlow code and pre-trained models for BERT

GloVe model for distributed word representation

AWD-LSTM language model trained on newspaper corpora with fast.ai

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

An open-source NLP research library, built on PyTorch.

The fastai deep learning library, plus lessons and tutorials

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.

Elasticsearch File System Crawler (FS Crawler)

Official Stanford NLP Python Library for Many Human Languages

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)