214 Open source projects that are alternatives of or similar to Pycorrector

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

基于bert4keras的GLUE基准代码

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。

Using VideoBERT to tackle video prediction

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

离线端阅读理解应用 QA for mobile, Android & iPhone

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Google AI 2018 BERT pytorch implementation

Applied Deep Learning (2019 Spring) @ NTU

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.

A dockerized flask API, serving ALBERT and BERT predictions using TensorFlow 2.0.

Bangla-Bert is a pretrained bert model for Bengali language

Multi-Task Deep Neural Networks for Natural Language Understanding

⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

🤗 Korean Comments ELECTRA: 한국어 댓글로 학습한 ELECTRA 모델

Natural Language Processing Tutorial for Deep Learning Researchers

中文wiki百科QA阅读理解问答系统，使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型，还有W2V词向量搜索,使用torchserve部署

Text2Text: Cross-lingual natural language processing and generation toolkit

BERT, LDA, and TFIDF based keyword extraction in Python

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Naver movie review sentiment classification with KoBERT

Super easy library for BERT based NLP models

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Emotion recognition in conversation

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

Mengzi Pretrained Models

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

FewCLUE 小样本学习测评基准，中文版

Code for the paper "Are Sixteen Heads Really Better than One?"

State of the Art Natural Language Processing

🔮 Answering multiple choice questions with Language Models.

One Person, One Model, One World: Learning Continual User Representation without Forgetting

📖 Korean NLU Benchmark

Mapping a variable-length sentence to a fixed-length vector using BERT model

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

CLUE baseline pytorch CLUE的pytorch版本基线

文本对关系比较 - 语义相似度、字面相似度、文本蕴含等等

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

TEXTOIR is a flexible toolkit for open intent detection and discovery. (ACL 2021)

本NER项目包含多个中文数据集，模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等，最后用TFServing进行模型部署，线上推理和线下推理。

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

机器翻译子任务-翻译质量评价-在BERT模型后面加上Bi-LSTM进行fine-tuning

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

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

PyTorch to Keras model convertor

bert sentiment analysis tensorflow serving with RESTful API

text generation based on transformer

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.