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--zh-ner-tf

A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)

-active-learning-for-ner

Implementation of active learning based on BiLSTM-CRF

-bidirectional-lstm-crf

implementation for paper: Bidirectional LSTM-CRF Models for Sequence Tagging

-lstm-crf-pytorch-faster

A more than 1000X faster paralleled LSTM-CRF implementation modified from the slower version in the Pytorch official tutorial (URL:https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html).

aquami

ascends

Advanced data SCiEnce toolkit for Non-Data scientists

bert-bilstm-crf-ner

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

bilstm-crf_ner_pl

使用BiLSTM+CRF进行ner任务（pytorch_lightning版）

cocoapi

COCO API - Dataset @ http://cocodataset.org/

course-decision-tree

Python与机器学习方向，《决策树与集成算法》课程仓库

csx

save code

cvfpaperhelper

Automatically download multiple papers by keywords in CVPR

da_dahazing

Domain Adaptation for Image Dehazing, CVPR2020

decision_tree-python

决策树分类（ID3，C4.5，CART）

gensim-word2vec

利用gensim训练词向量

image_processing

basic inplementation of image processing algorithms, such as bilateral filter, BM3D and so on

imagepy

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

interview-notebook

https://github.com/CyC2018/Interview-Notebook

machinelearning_python

机器学习算法python实现

materials-word-embeddings

Word2Vec model trained across 640k+ materials science journal articles

matscie

MatScIE: An automated tool for information extraction from Material Science scientific documents.

medicalnamedentityrecognition

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.

name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

named_entity_recognition

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

ner

基于tensorflow深度学习的中文的命名实体识别

nlp-beginner-finish

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。

nlp_ner_bilstm_crf_named_entity_recognition

NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models BILSTM-CRF

nlp_paper_study

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

pdfconverter

Best PDF Converter! PDF to any format, pdf2word/excel/xml/html/txt...

pycalphad

CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.