Top 1176 natural-language-processing open source projects

Oxford Deep NLP 2017 course

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

📖 A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

Natural language processing pipeline for book-length documents

All the slides, accompanying code and exercises all stored in this repo. 🎈

A curated list of dedicated resources and applications

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Resources for conservation, development, and documentation of low resource (human) languages.

awesome grounding: A curated list of research papers in visual grounding

A powerful Swift framework for evaluating mathematical expressions

Repository for Project Insight: NLP as a Service

Code associated with the Don't Stop Pretraining ACL 2020 paper

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

Jack the Reader

Summarization Papers

QRNN implementation for TensorFlow

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

NLP: Convert Japanese Kana-kanji sentences into Kana-Roman in simple algorithm.

The tool to make NLP datasets ready to use

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

MITIE: library and tools for information extraction

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

💫 REST microservices for various spaCy-related tasks

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Accelerated deep learning R&D

spaCy REST API, wrapped in a Docker container.

Machine Learning notebooks for refreshing concepts.

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

Dilated CNNs for NER in TensorFlow

AI 算法岗简历模板

Oxford Deep NLP 2017 course - Practical 1: word2vec

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist

Researches for Natural Language Processing for Financial Domain

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

[CVPR 2017] Torch code for Visual Dialog

Named Entity Recognition based on dictionaries

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

Interpretable data visualizations for understanding how texts differ at the word level

Graph Convolution Network for NLP

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

A CoNLL-U parser that takes a CoNLL-U formatted string and turns it into a nested python dictionary.

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Meandering In Networks of Entities to Reach Verisimilar Answers

PyTorch implementation of beam search decoding for seq2seq models

Implementation of character based convolutional neural network

THE String Processing Package for R (with ICU)

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

A PyTorch implementation of GraphRel

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

NLP made easy