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opencompetition

A collection of algorithms for data science competition. Only focus on the tested and latest

opennre

An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow

ordered-neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

pubtator-covid19

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch_graph-rel

A PyTorch implementation of GraphRel

saliency-sampler

The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task.

sentence-transformers

Sentence Embeddings with BERT & XLNet

sequence-labeling-bilstm-crf

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

softwareengineer_project

Implement a simple and complete software tool.

solvingalmostanythingwithbert

BioBert Pytorch

sqlnet

Neural Network for generating structured queries from natural language.

sqlova

tensorflow-tutorial

Tensorflow tutorial from basic to hard

terminal

The new Windows Terminal, and the original Windows console host -- all in the same place!

test

torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

transformer-in-pytorch

Transformer/Transformer-XL/R-Transformer examples and explanations

treelstm.pytorch

Tree LSTM implementation in PyTorch

wikisql

A large annotated semantic parsing corpus for developing natural language interfaces.

zh-ner-tf

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