Monireh2's repositories

kg-deductive-reasoner

knowledge graph deductive reasoning using memory networks

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gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

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ace2005-preprocessing

ACE 2005 corpus preprocessing for Event Extraction task

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acl2019_nested_ner

Source code for paper Neural Architectures for Nested NER through Linearization

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aios-data-distribution

Repository for AI OpenScale Data Distribution

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bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

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brat

brat rapid annotation tool (brat) - for all your textual annotation needs

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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examples-1

TensorFlow examples

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flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

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keras-tuner

Hyperparameter tuning for humans

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kfctl

kfctl is a CLI for deploying and managing Kubeflow

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LSTM-ER

Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.

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MAX-Framework

Python package that can be installed to make it easier to create MAX models

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MAX-Named-Entity-Tagger

Locate and tag named entities in text

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MAX-Skeleton

A cookie-cutter / skeleton for MAX repos

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nested-ner-tacl2020

Implementation of Nested Named Entity Recognition

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OpenKE

An Open-Source Package for Knowledge Embedding (KE)

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pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

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pwc

Papers with code. Sorted by stars. Updated weekly.

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PyTorch-Tutorial

Build your neural network easy and fast

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ranking_clarification_questions

Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"

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text-extensions-for-pandas

Natural language processing support for Pandas dataframes.

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xml2conll

A simple script to convert XML Named Entity Recognition annotations to the CONLL format.

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