Popular GitHub Repositories for Fortran2003

Utilizing Spacy and Tensorflow to train custom Named Entity Recognizers.

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Library for specialized dense and sparse matrix operations, and deep learning primitives.

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

A parallel framework for deep learning

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

a sklearn wrapper for Google's BERT model

A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning

A library for directly calling PyTorch ML models from Fortran.

reference tensorflow code for named entity tagging

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

A deep learning library for use in high-performance computing applications in modern Fortran

Deep-Atrous-CNN-NER: Word level model for Named Entity Recognition

Machine Learning Algorithms in Fortran

This repository tries to implement BERT for NER by trying to follow the paper using transformers library

Fast, minimally-invasive neural network inference library

ForOpenAI - A Fortran library for OpenAI API.

Named Entity Recognition in PyTorch on CoNLL2003 dataset