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Akib Zaman's Projects

astminer icon astminer

A library for mining of path-based representations of code (and more)

attnsleep icon attnsleep

The code for TNSRE work: "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

beginners-data-structure icon beginners-data-structure

This repository contains the Basic Data Structures and Related Problems in C++. The code is written in a way that it can be easily understood by beginners.

cubert icon cubert

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

deepinsight icon deepinsight

A methodology to transform a non-image data to an image for convolution neural network architecture

deepsleepnet icon deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

four_in_a_row_ai icon four_in_a_row_ai

Four_In_A_Row problem has been solved using Python Language with the comprehensive implementation of Min-Max Alpha-Beta Pruning Algorithm. The Depth of the search for the algorithm has been customized for a quicker but less accurate response from an AI agent.

github-workshop icon github-workshop

Workshop Material from 07 March, 2023 conducted in UIU Multipurpose Hall and Hosted by UIU Computer Club (CCL).

googletest icon googletest

GoogleTest - Google Testing and Mocking Framework

intelli_helmet icon intelli_helmet

Intelli-Helmet is a stress monitoring system using the brain wave data form EEG headset and physiological data (Heart Rate) from wearable device.

plur icon plur

PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the datasets. This is done by offering a unified API and data structures for all datasets.

progex icon progex

PROGEX (Program Graph Extractor); a cross platform tool for extracting graphical program representations from software source code

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

sleepboost icon sleepboost

A Multi-Level Tree-based Ensemble Model for Automatic Sleep Stage Classification

soil-nutrient-web icon soil-nutrient-web

Prediction of basic soil nutrients (phosphorus, potassium, boron, calcium, magnesium and manganese) using reflectance from Hyperspectral Satellite Images (HSI).

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