Md Abrar Jahin
Abrar2652
Md Abrar Jahin is an AI Researcher. His research interests include Efficient DL, Geometric DL, Quantum Machine Learning, and Trustworthy AI.
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60
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60
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11
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Top Repositories
Network Intrusion Detection using GNN
Cash Flow Forecasting Challenge held in 2020 on the popular TopCoder hackathon platform. I created my ML forecasting model using Python SciPy libraries. The step-by-step guide from data exploration to analysis has been shown in the notebook.
An NLP research project utilizing the "cardiffnlp/twitter-roberta-base-sentiment-latest" pre-trained transformer for tweet tokenization. The project includes an attention-based biLSTM model that predicts sentiment labels for tweets as negative (-1), neutral (0), or positive (1).
This repository features a custom OpenAI Gym environment, Gym Aloha Pick and Place, designed for robotic pick-and-place tasks. It supports imitation learning and reinforcement learning, allowing agents to learn from demonstrations and self-play.
Facebook text messages and media data analysis using Python of a couple. The in-depth analysis of the data provides insights into the relationship pattern, strength, average messages, engagement, efforts, and so on. This research provides useful information suggesting the positive changes required to maintain a healthy relationship. It also shows the constraints of using this data and the limitations of this analysis.
I worked on this project using Numpy library of Python under Dr. Ilkay Altintas (Top Data Scientist, San Diego Super Computer Center). This high resolution project image was taken from NASA satellite LANsat.
Repositories
60No description provided.
Personal website of Md Abrar Jahin.
This repository features a custom OpenAI Gym environment, Gym Aloha Pick and Place, designed for robotic pick-and-place tasks. It supports imitation learning and reinforcement learning, allowing agents to learn from demonstrations and self-play.
Cash Flow Forecasting Challenge held in 2020 on the popular TopCoder hackathon platform. I created my ML forecasting model using Python SciPy libraries. The step-by-step guide from data exploration to analysis has been shown in the notebook.
No description provided.
Network Intrusion Detection using GNN
No description provided.
An NLP research project utilizing the "cardiffnlp/twitter-roberta-base-sentiment-latest" pre-trained transformer for tweet tokenization. The project includes an attention-based biLSTM model that predicts sentiment labels for tweets as negative (-1), neutral (0), or positive (1).
No description provided.
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Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification
A group for computer scientists and physicists with aspirations of becoming quantum scientists. Quantum computing, jobs, books and graduate school are amongst the topics covered.
I worked on this project using Numpy library of Python under Dr. Ilkay Altintas (Top Data Scientist, San Diego Super Computer Center). This high resolution project image was taken from NASA satellite LANsat.
Facebook text messages and media data analysis using Python of a couple. The in-depth analysis of the data provides insights into the relationship pattern, strength, average messages, engagement, efforts, and so on. This research provides useful information suggesting the positive changes required to maintain a healthy relationship. It also shows the constraints of using this data and the limitations of this analysis.
No description provided.
A supervised classification machine learning approach to forecasting the road as safe (label 1) or dangerous (label 0) for driving in the arctic regions. If the friction is 0 <= x < 0.5 then we labeled it as 0, either 1 in the range 0.5 to 1.
A Hybrid Quantum-Classical Neural Network for Supply Chain Backorder Prediction
HackerEarth Machine Learning challenge: Love is love competition submission [Position: 31st]
My Machine Learning Model got the accuracy of 87.38717% in the "HackerEarth Machine Learning challenge: Pet Adoption Hackathon" and my position was 401st among 24375 accepted submissions.
Learning Quantum Computing with Python and IBM Quantum, Second Edition, Published by Packt
The method of finding hash values and brute-forcing a hash function has been shown.
Multi-Channel Data Fusion Network
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Our global health equity solution at MIT SOLVE 2024
Book: Quantum Computing Architecture and Hardware for Engineers - Step by Step
A final sanity checklist to help your CS paper get accepted, not desk rejected.
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An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data