316 Open source projects that are alternatives of or similar to Seq2annotation

百度NLP：分词，词性标注，命名实体识别，词重要性

中文分词 词性标注 命名实体识别 依存句法分析 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 自然语言处理

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

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A pythonic wrapper for Stanford CoreNLP.

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Hierarchically-Refined Label Attention Network for Sequence Labeling

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YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

Zero-shot Transfer Learning from English to Arabic

LSTM-CRF for NER with ConLL-2002 dataset

Kuromoji is a self-contained and very easy to use Japanese morphological analyzer designed for search

An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0

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

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

TensorFlow Lite models, samples, tutorials, tools and learning resources.

Official Stanford NLP Python Library for Many Human Languages

Zemberek Türkçe NLP Java Kütüphanesi üzerine REST Docker Sunucu

Python/Django based webapps and web user interfaces for search, structure (meta data management like thesaurus, ontologies, annotations and named entities) and data import (ETL like text extraction, OCR and crawling filesystems or websites)

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

Largest list of models for Core ML (for iOS 11+)

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

Lets Learn AI

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

Japanese IOB2 tagged corpus for Named Entity Recognition.

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

Boltzmann Machines in TensorFlow with examples

Stanford CoreNLP: A Java suite of core NLP tools.

Generic and easy-to-use serving service for machine learning models

A collection of Audio and Speech pre-trained models.

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

PyTorch to Keras model convertor

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑

An open source library for deep learning end-to-end dialog systems and chatbots.

📖 Labeled examples from wiki dumps in Python

Domain-Adversarial Neural Network in Tensorflow

基于深度学习的自然语言处理库

Named Entity Recognition using multilayered bidirectional LSTM

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

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基于Pytorch和torchtext的知识图谱深度学习框架。

Arabic support for textblob

Language model finetuning on NER with an easy interface, and cross-domain evaluation. We released NER models finetuned on various domain via huggingface model hub.

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

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

Serve your models

Image classification with NVIDIA TensorRT from TensorFlow models.

Deep neural models for core NLP tasks (Pytorch version)

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Curated set of transformers that make your work with steppy faster and more effective 🔭