Name: Mohammad Rifat Arefin
Type: User
Company: University of Texas at Arlington
Bio: Doctoral Student, University of Texas at Arlington
Location: Arlington, TX
Blog: https://twitter.com/mo_rifat
Mohammad Rifat Arefin's Projects
Grammar synthesis algorithm using a black box oracle
Datasets, tools, and benchmarks for representation learning of code.
Computational Geometry topics: Convex Hull, Polygon partitioning, Delaunay Triangulation and Voronoi Diagram, K-d Trees
CSE 5306 Class Project
Homework_ArrayList
:zap: Dynamically generated stats for your github readmes
GLADE is a tool for automatically synthesizing program input grammars
This is the replication package for the experiments in "“Synthesizing Input Grammars”: A Critical Evaluation".
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
Term project for Software Engineering Sessional- BUET level-3, term-2
Term project for Database Sessional- BUET level-3, term-1
Multi-label image annotator trained on a subset of corel-5k dataset
Digital System Design Sessional Project, BUET level 4, term 1
Code search through natural language query
Code for ICSE 2024 paper "Fast Deterministic Black-box Context-free Grammar Inference"