Divyanshu Pabia (Rekklessss)

Rekklessss

Geek Repo

Location:Chennai

Home Page:github.com/Rekklessss

Twitter:@RekklesCODM

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Divyanshu Pabia's repositories

100-days-of-code-python

100 Days of Code: The Complete Python Pro Bootcamp

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Clustering-Using-Grey-Wolf-Optimizer

The program generates optimal clusters using a grey-wolf optimizer (GWO) and perform clustering of IRIS dataset.

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Color-Segmentation-Using-PSO-Based-Clustering

The program uses particle swarm optimization (PSO) algorithm to perform clustering based segmentation of colors in an image.

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ARMv4T-CPU-Implementation

This repository contains the design and implementation of a fully operational processor created using VHDL (VHSIC Hardware Description Language). This processor is designed to execute a wide array of machine-level instructions effectively.

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bitcoin

Bitcoin Core integration/staging tree

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cloudburst-app

An app to predict weather conditions based on extensive data sets

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Coding-Solutions

Solutions to problems I've solved on coding platforms

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Data-Driven-Selection-In-Artificial-Muscle

This repository is dedicated to a specialized multi-label classifier using the Support Vector Machine (SVM) algorithm. The model is engineered to identify the appropriate type of actuator based on various input features, including Stress, Strain, and Efficiency, among others.

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Data-Structures-and-Algorithms-in-Java

Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner

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Edge-Detection

Built a program to detect edges in an image using the properties of high and low-pass filters, 2D convolutions, Gaussian kernels, Fourier transforms, etc. The novel part about this project was that we did not use the built-in OpenCV library functions, we implemented the whole program ourselves, from scratch.

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first-contributions

🚀✨ Help beginners to contribute to open source projects

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food-not-food

A Machine Learning powered app to decide whether a photo is food or not.

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Feature-Selection-Using-GSA

Python code for feature selection using gravitational search algorithm (GSA) and support vector machine (SVM) on the IRIS dataset. To run: python optimizer.py For non-commercial purposes.

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Google-Search-Analysis

The "Google Trends Analysis for Machine Learning" project is a data-driven exploration of the popularity and regional interest in machine learning as a subject of inquiry on Google Search. This project utilizes Python and the Google Trends API to gather and visualize data regarding search interest in machine learning topics over time.

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Hate-Speech-Detection-Model

This repository contains a Python code for detecting hate speech in text. The code is based on a decision tree classifier and has been trained on a dataset of tweets that have been labeled as hate speech or not. The code is written in Python and uses the scikit-learn library.

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Merge-Sort-In-Assembly

Implemented the merge sort algorithm in Assembly language, sorting sets of strings given in input files, lexicographically. This was simulated using ARMSim.

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Multi-Class-Image-Classifier

This repository contains an implementation of a neural network designed for multi-class classification tasks, specifically trained on the Fashion-MNIST dataset. Fashion-MNIST is a dataset curated by Zalando that consists of 28x28 grayscale images of clothing items, categorized into 10 distinct classes.

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Naive-Bayes-Text-Classifier

This repository features an implementation of a text classification model using the Naive Bayes algorithm. The classifier is trained to discern the sentiment of movie reviews from a large dataset, categorizing each review as either positive or negative.

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nn-zero-to-hero

Neural Networks: Zero to Hero

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Object-Classification-and-Image-Segmentation-using-Nature-Inspired-Algorithm

Segmenting objects in an image using differential evolution which are further classified into various shapes using Support Vector Machine.

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Omost

Your image is almost there!

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Road-Detection

This program uses Superpixel to identify uniform regions in an image which are further analysed for the detection of road using neural network.

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Sleeve-Classification-and-Grad-CAM-in-Tensorflow

Tensorflow code for Sleeve Classification Code along with visualization of Image Regions that effect the classification process using Grad-CAM method. In addition, the filter output after the first layer is also illustrated.

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State-Estimation

This project is about state estimation using kalman filters, EKF, Landmark Localisation and solving the Data Association problem, and was done as a course assignment for Special Topics in Artificial Intelligence - Odd Semester - 2023-2024.

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StrategemAI-Chess-Engine

StrategemAI is a powerful chess engine developed in Java, designed to provide advanced decision-making capabilities and strategic gameplay. Utilizing alpha-beta pruning and iterative deepening search algorithms, StrategemAI significantly enhances decision-making speed and accuracy.

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Tab-Links-QR

QR Generator for Tab Links Generates QR for first 10 tabs in browser Extended to develop a system where scanning such QR codes can be used for opening same set of links in the other browsers/systems For non-commercial purposes.

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Tinkering-The-Linux-Kernel

This repository showcases my progress and solutions for the 'Hard' level assignments based on the latest Linux Kernel. The journey through these assignments was part of a pioneering Operating Systems course that emphasized practical understanding and application of OS concepts using the Linux Kernel.

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