Maliheh Izadi (MalihehIzadi)

MalihehIzadi

Geek Repo

Company:TU Delft

Location:Netherlands

Home Page:https://malihehizadi.github.io/PersonalWebsite

Twitter:@MalihehIzadi

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Maliheh Izadi's repositories

SoftwareTagRecommender

A tag recommender based on SOTA machine learning algorithms to automatically recommending tags to software repositories.

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catiss

CatIss is an intelligent tool for automatic categorization of issue reports based on the RoBERTa model.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:10Issues:1Issues:0

IssueReportsManagement

Automatically managing Collectively-curated issue reports for maintenance and evolution goals of the software repositories, using state-of-the-art machine learning models.

hybrid-linker

A hybrid method for recovering links between issue reports and their respective commits

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human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

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issue-prioritiser-evaluation

Codebase for our paper: https://dl.acm.org/doi/abs/10.1145/3385032.3385052

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linkformer

Automatic Contextualised Link Recovery of Software Artifacts in a Cross-Project Setting

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nlp4se_eval

On the evaluation of NLP-based models for Software Engineering

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approachingalmost

Approaching (Almost) Any Machine Learning Problem

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awesome-computer-vision

A curated list of awesome computer vision resources

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

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ml4se

Minimal tutorial on making a simple website with GitHub Pages

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neuralCodeCompletion

The implementation of the IJCAI 2018 paper: Code Completion with Neural Attention and Pointer Networks

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Repologue

Categorizing software repositories

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SLP-Core

Your library for dynamic language modeling

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X-Transformer

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

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