309 Open source projects that are alternatives of or similar to Mycail

对收集的法律文档进行一系列分析，包括根据规范自动切分、案件相似度计算、案件聚类、法律条文推荐等（试验目前基于婚姻类案件，可扩展至其它领域）。

all kinds of baseline models for long text classificaiton( text categorization)

Implementation of papers for text classification task on DBpedia

Predict the author's gender from their text.

The Python Code Tutorials

基于Pytorch和torchtext的自然语言处理深度学习框架。

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Natural Language Processing Best Practices & Examples

Machine learning based text classification in JavaScript using n-grams and cosine similarity

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

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

⚫️ A spaCy pipeline and model for NLP on unstructured legal text.

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

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

Hierarchy-Aware Global Model for Hierarchical Text Classification

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

Graph Convolutional Networks for Text Classification. AAAI 2019

A Modern C++ Data Sciences Toolkit

Text classification with Sparse Composite Document Vectors.

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

all kinds of text classification models and more with deep learning

A Ruby Gem to detect under what license a project is distributed.

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

💫 Industrial-strength Natural Language Processing (NLP) in Python

Data augmentation for NLP, presented at EMNLP 2019

LexNLP by LexPredict

Collaborative development on GitHub's site policies, procedures, and guidelines

🔮Deep Learning for text made easy with AllenNLP

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.

All kinds of neural text classifiers implemented by Keras

Tensorflow implementation of attention mechanism for text classification tasks.

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

Text classification using deep learning models in Pytorch

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

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

Chinese Question Classifier (Keras Implementation) on BQuLD

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

bert on Jigsaw Unintended Bias in Toxicity Classification

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

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

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

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

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

A simple cookie choices thought to the GDPR rules 🔒🍪

A Benchmark of Text Classification in PyTorch

Text classifier for Hierarchical Attention Networks for Document Classification

Tensorflow implementations of Text Classification Models.

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

📚 Text classification library with Keras

ARCHIVED Source code for tosdr.org

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

Tensorflow based training and classification scripts for text, images, etc

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

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Text Mining in Python

Web Service for E-Discovery Analytics

A Python interface for Facebook fastText

Meta learning with BERT as a learner