Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
637 results
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Named Entity Recognition (LSTM + CRF) - Tensorflow
A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.
This repository consists of all my NLP Projects
Labelling platform for text using weak supervision.
"Few-shot Text Classification with Distributional Signatures" ICLR 2020
2018-DC-“达观杯”文本智能处理挑战赛：冠军 (1st/3131)
中文ULMFiT 情感分析 文本分类
Open source no-code system for text annotation and building of text classifiers
UDA(Unsupervised Data Augmentation) implemented by pytorch
NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.
all kinds of baseline models for long text classificaiton( text categorization)
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
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.
PyContinual (An Easy and Extendible Framework for Continual Learning)
Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
Cybertron: the home planet of the Transformers in Go
基于Transformers的文本分类
24,523 repositories in the index in total.
