100-days-of-code-python

100 Days of Code: The Complete Python Pro Bootcamp

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.

bitcoin

Bitcoin Core integration/staging tree

cloudburst-app

An app to predict weather conditions based on extensive data sets

clustering-using-grey-wolf-optimizer

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

coding-solutions

Solutions to problems I've solved on coding platforms

color-segmentation-using-pso-based-clustering

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

contribute-to-this-project

This project is waiting for your contribution. If you have never contributed code on GitHub before, this is the project to get you started.

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.

data-structures-and-algorithms-in-java

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

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.

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.

first-contributions

🚀✨ Help beginners to contribute to open source projects

food-not-food

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

forage-jpmc-swe-task-1

Starter repo for task 1 of the JPMC software engineering program

forage-jpmc-swe-task-2

Starter repo for task 2 of JPMC's forage program

forage-jpmc-swe-task-3

Starter repo for task 3 of JPMC's Forage program

gamergrid

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.

gravitational-search-algorithm

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.

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.

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.

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.

nn-zero-to-hero

Neural Networks: Zero to Hero

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.

omost

Your image is almost there!

rekklessss

rekklessss.github.io

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.