Pouria Babvey (pbabvey)

pbabvey

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Location:1 Castle Point Terrace, Hoboken, NJ 07030

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Pouria Babvey's repositories

label_masking

A new method to use multi-head attention heads for sequence labeling

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DisasterTweets

Here we provide a data set of tweets associated with hurricane Harvey and Dorian. We provide the ID of the Tweets. To obtain the individual tweets, use the Twitter API of your choice and query for the ID's provided. If using datasets please cite using:

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algorithm_brush_up

Here I collect all my Python algorithm and data structure notebooks

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atap

Code for Applied Text Analysis with Python

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attention_keras

Keras Layer implementation of Attention

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coding_brush_up

I collect some notebooks that review the fundamentals of common programming tools and packages for data science

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cryptocurrencies

đź“‹ Get a list of all the cryptocurrency symbols and names.

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EvoluMonitor

A Text-based Evolu-monitoring System

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from_stars_to_supernovas

A project to map the tweet content

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github-slideshow

A robot powered training repository :robot:

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goatools

Python library to handle Gene Ontology (GO) terms

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GraphEmbedding

Implementation and experiments of graph embedding algorithms.

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MLwithTensorFlow2ed

Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications

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Multi-Label-Text-classification-Using-BERT

Multi Label text classification using bert

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Neural_Differential_Equations

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

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python-data-structures

This repository contains the code associated with the "Designing Data Structures in Python: Principles & Practice" Safari Video. https://www.safaribooksonline.com/library/view/designing-data-structures/9781491928622/

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pytorch-pretrained-BERT

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

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review-prisma

This app create an aspect-based recommendation system for customers

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Unsupervised-Aspect-Extraction

Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"

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