-
The Ohio State University
- Columbus, OH, USA
- http://biqar.github.io
- @AbdullahRaqibul
- in/aa-raqibul-islam
Highlights
- Pro
Lists (15)
Sort Name ascending (A-Z)
competitive-programming
datastructures
file-system
graph-processing
hypergraphs
key-value store
latex
learned-index
memory-tools
miscellaneous-courses
ml-learning
Repositories that help me learning Machine Learning techniques will belong to this list.paper-curation
pmem-index
Index structures optimized for Persistent Memory.profile-page
workload-generator
Stars
This repository contains the projects and assignments of course "ITCS 6114/8114: Algorithms and Data Structures". This course has been taken in Fall 2019 semester, as part of my PhD degree at UNC C…
Fast and full-featured Matrix Market I/O library for C++, Python, and R
Improving SpGEMM Performance Through Matrix Reordering and Cluster-wise Computation [SC'25]
Improving SpGEMM Performance Through Matrix Reordering and Cluster-wise Computation [SC'25]
🍒 cuRBLAS (Randomized BLAS) is a GPU-accelerated library for accelerating AI and HPC applications.
Collection of my analysis and solutions (in C++) of some of the hard leetcode problems.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Neural Networks: Zero to Hero
DGAP: Efficient Dynamic Graph Analysis on Persistent Memory [SC'23]
A simple implementation of the packed memory array
Terrace: A Hierarchical Graph Container for Skewed Dynamic Graphs
My paper/code reading notes in Chinese
Docker Images, installation scripts, and testing & benchmarking suite for Graph Databases
TLX - A Collection of Sophisticated C++ Data Structures, Algorithms, and Miscellaneous Helpers
Generator of synthetic graphs with a uniform distribution
Cost/performance analysis of index structures on SSD and persistent memory (CIDR 2022)
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
The repo for FaultyRank codebase published in IPDPS'23
stdgpu: Efficient STL-like Data Structures on the GPU
Official code of "PLEX: Towards Practical Learned Indexing", aka TrieSpline (AIDB @VLDB'21)
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s



