Mohammed H. Jabreel (mhjabreel)

mhjabreel

Geek Repo

Company:Microsoft

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Mohammed H. Jabreel's repositories

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CharCnn_Keras

The implementation of text classification using character level convoultion neural networks using Keras

STF-RNN

Keras implementation of STF-RNN: Space Time Features-based Recurrent Neural Network for Predicting People Next Location

FDTKit

FDTKit is a fuzzy decision tree toolkit includes the state of art fuzzy decision tree algorithms

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Textify

Textify: A High-level tensorflow framework for text classification.

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OpenNMT-tf

Neural machine translation and sequence learning using TensorFlow

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AB-Sentiment

Aspect-based Sentiment Analysis tool

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ABSA-BERT-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

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alibi

Algorithms for monitoring and explaining machine learning models

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App-DL

Deep Learning and applications in Startups, CV, Text Mining, NLP

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awesome-blazor

Resources for Blazor, a .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly.

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awesome-laravel

A curated list of bookmarks, packages, tutorials, videos and other cool resources from the Laravel ecosystem

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BERT-for-RRC-ABSA

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

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Deep-Learning-Boot-Camp

A nonprofit community run, 5-day Deep Learning Bootcamp

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DeepSharp

Deep# (DeepSharp) is a high level deep learning framework for the C# developers. It is based on CNTK.

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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geotopics

We analyse data from location-based social media with the goal to understand how different regions of cities are associated with different kinds of activity -- and to seek patterns across regions and cities.

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IdentityServer4.Demo

Demo instance of IdentityServer4

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Instagram-API

Instagram's private API

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laravel-tasks

A simple Laravel application that demonstrates how to build data-driven PHP apps in Azure App Service.

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neat-vision

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

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nmt

TensorFlow Neural Machine Translation Tutorial

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vision

Datasets, Transforms and Models specific to Computer Vision

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