1110 Open source projects that are alternatives of or similar to Deep-NLP-Resources

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

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

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

State of the Art Natural Language Processing

Snips Python library to extract meaning from text

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

NRC Word-Emotion Association Lexicon

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Library of state-of-the-art models (PyTorch) for NLP tasks

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

NiuTrans.SMT is an open-source statistical machine translation system developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. The NiuTrans system is fully developed in C++ language. So it runs fast and uses less memory. Currently it supports phrase-based, hierarchical phrase-based and syntax-based (string-to-tree, tree-to-string and tree-to-tree) models for research-oriented studies.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

基于Pytorch和torchtext的自然语言处理深度学习框架。

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

GPT-2 French demo | Démo française de GPT-2

Lingvo

A WEKA package for analyzing emotion and sentiment of tweets.

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Kadot, the unsupervised natural language processing library.

搜索所有中文NLP数据集，附常用英文NLP数据集

API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend

DGMs for NLP. A roadmap.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Language Modeling and Text Classification in Malayalam Language using ULMFiT

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

DELTA is a deep learning based natural language and speech processing platform.

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Natural language understanding library for chatbots with intent recognition and entity extraction.

🔥 Korean GPT-2, KoGPT2 FineTuning cased. 한국어 가사 데이터 학습 🔥

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Discourse Question Answer Plugin

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

中国古诗生成（文本生成）

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

This is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258 IJCAI2018

Tensorflow Node.js Examples

Model training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project

Odinson is a powerful and highly optimized open-source framework for rule-based information extraction. Odinson couples a simple, yet powerful pattern language that can operate over multiple representations of text, with a runtime system that operates in near real time.

Chinese Natural Language Correction via Language Model

An emotion classifier of text containing technical content from the SE domain

Deep Learning Bootcamp

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

Personalized Medicine: Redefining Cancer Treatment with deep learning

Система, анализирующая тональность текстов и высказываний.

This program provides efficient web scraping services for Tor and non-Tor sites. The program has both a CLI and REST API.

A comprehensive tool for linguistic analysis of communities

Core Foundation, libyajl based JSON support.

Neural machine translation implementation using dynet's python bindings

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.

AI based web-wrapper for web-content-extraction

General Architecture for Text Engineering