Sasanka Mallikarachchi (SasankaMallikarachchi)

SasankaMallikarachchi

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Sasanka Mallikarachchi's repositories

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Analog-Clock-

This program is developed using basics of computer graphics such as rotation of a random polygon compared to a fixed point, scaling of a random polygon and a little bit knowledge of threads also used. The clock contains hour hand, minute hand and second hand. When the application starts it begin from 12.00 and continues.

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NeuroNER

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

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keras-contrib

Keras community contributions

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tf2crf

CRF layer for tensorflow 2 keras

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nalaf

NLP framework in python for entity recognition and relationship extraction

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nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

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soft-gazetteers

Code and data for the paper "Soft Gazetteers for Low-resource Named Entity Recognition"

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product-apim

Welcome to the WSO2 API Manager source code! For info on working with the WSO2 API Manager repository and contributing code, click the link below.

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Post-and-Comment-API

demonstrating one to many mapping

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Image-uploader-API

Users can upload and download images using this API. This API can be used when we want to set profile pictures for an application and we want to download or view images from an application. In this application images are saved to a local database it can be change as your preference and it is saved as a byte array.

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SMS-sender-for-varified-numbers

This is a REST api for sending sms to verified phone_numbers. First of all you have to create an account in twilio in order to gain trial number . After developing the api you can send any massage you want to anyone one you need. Remember, phone_numbers should be verified.

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K-Means-Clustering-Demo

This is a C# implementation for K means clustering algorithm. User can input data points manually or automatically as he wish up to 10,000 and also up 15 clustering points. When user gives the command to start calculation begins and points rearranged. User can do the calculation until there’s no changes in the data points.

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named-entity-recognition

Name Entity Recognition using Python and Keras

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