anmsajedulalam

Patients-Severity-States-Classification-based-on-EHR-Data-using-Multiple-Machine-and-Deep-Learning

Patients’ Severity States Classification based on Electronic Health Record (EHR) Data using Multiple Machine Learning and Deep Learning Approaches

CSE707-Submissions

Task submissions of Distributed Computing Systems course in my MS in CSE, BRAC University.

CSE712-Submissions

Task submissions of Symbolic Machine Learning 2 - Natural Language Processing course in my MS in CSE, BRAC University.

Data-Extraction-from-PDF-files-of-Resume

Extracted data from pdf files of resumes written in English. Used libraries: spacy, pdf2image, easyocr, poppler-utils.

idocodetobuild

Img2Img-Generator-using-Stable-Diffusion-with-Diffusers-from-Hugging-Face

Here I have used Stable Diffusion with the diffusers from hugging face, took one image as input and then added elements into it by using diffusion algorithm, and iterated this process three/four times with different type of elements, adding by text inputs.

URI1044

Capturing-audio-from-youtube-videos

This can capture audio from any YouTube video links. Just put the links in the directory "data/data.csv". Audio will be extracted as ".mp3" files.

Color_Based_Counting_Using_OpenCV_From_Video

Used OpenCV to count same color objects in real time from a video file shooed by me. Masking was used for separating colors, used lower and upper HSV boundaries to detect specific colors.

Extracting-faces-from-cc-footage-using-Multi-Task-Cascaded-Convolutional-Neural-Networks-and-OpenCV

In crime activities, CCTV footage implies a great role but, in most cases, the CCTV footages are too blurry and not clear enough to identify the criminals. This is why it is much important to detect specific faces from low-resolution CCTV footage, where there can be low light, Multi-Task Cascaded Convolutional Neural Networks can be used to extract criminal faces in those situations.

anmsajedulalam

evote

E-vote - Your digital voting system

Guess-Number

A simple game built on Shell Script. Inspired By: Dr. Benson Muite

Guess-Number-1

A simple game created using shell script. Version 1.0.

language-models

pre-trained Language Models

MetaShift

MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)

ML-Course-Notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ML-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ML-Notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

models

Models and examples built with TensorFlow

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Parking-Occupancy-Calculation-by-ROI-based-approach-by-OpenCV

Parking-space-occupancy-finding-in-a-specific-region-of-a-footage-using-YOLOv5

Passport-Reader-using-Tesseract

Here, extracted information from sample random webscraped passports from both pdf and jpg file extensions

PerceptualSimilarity

LPIPS metric. pip install lpips

pyscript

Real_Time_Color_Detection_Using_OpenCV

OpenCV was used here for detecting colors in real time from video file inputs. Here, basically implemented Morphological Transformations using OpenCV to detect separate colors. This can only detect RGB colors.

Research-papers-on-telecom-data

Web-scraping-using-beautiful-soup

Here I used beautiful soup for web scraping data from URLs. This code was focused on just two types of documents, they are : .pdf and .doc Web scraped data was kept into 'contents' folder while scraping it. Later it was zipped as 'contents.zip', which contains four pdf documents which were fetched from the URL.