286 Open source projects that are alternatives of or similar to Band

State of the Art Natural Language Processing

Character-level Convolutional Networks for Text Classification论文仿真实现

export bert model for serving

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.

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Educational material on using the TensorFlow Estimator framework for text classification

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.

中国法研杯-司法人工智能挑战赛

FastText for Node.js

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

📚 Text classification library with Keras

Awesome-Text-Classification Projects,Papers,Tutorial .

All kinds of neural text classifiers implemented by Keras

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

bert on Jigsaw Unintended Bias in Toxicity Classification

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Text classifier for Hierarchical Attention Networks for Document Classification

A collection of Natural language processing pre-trained models.

PyTorch repository for text categorization and NER experiments in Turkish and English.

Implementation of Very Deep Convolutional Neural Network for Text Classification

🔮Deep Learning for text made easy with AllenNLP

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

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

中文ULMFiT 情感分析 文本分类

Chinese Question Classifier (Keras Implementation) on BQuLD

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

transform multi-label classification as sentence pair task, with more training data and information

all kinds of text classification models and more with deep learning

Word Embedding + LSTM + FC

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

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Data augmentation for NLP, presented at EMNLP 2019

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

文本分类基准测试

"20 Newsgroups" text classification with python

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

Tensorflow implementation of attention mechanism for text classification tasks.

Fake News Detection in Python

Text classification using deep learning models in Pytorch

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

A web app to create and browse text visualizations for automated customer listening.

A tool for learning vector representations of words and entities from Wikipedia

📓 Long(er) text representation and classification using Doc2Vec embeddings

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

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.

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

Text Classification by Convolutional Neural Network in Keras

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Java interface for fastText

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

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

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"