Ishwor subedi's Projects
Simple HTML and CSS Website
Config files for my GitHub profile.
In this practice project of Kafka, here I have implemented the Kafka producer and consumer for person detection using YoloV8 and saved the images in a folder and the report in a prediction.txt file from the videos.
This repository contains my solutions to problems from LeetCode, solved using Python, Java, and C++.
This repository contains the notes, code, and projects I have worked on as I learn about Machine Learning. This is a personal learning journey. I am simply sharing my progress with the hope that it may help others who are also learning.
ml-end-to-end-mlflow-fastapi_example This project is an example of how we can make an end-to-end ML project using a MLflow, a logger using generated data using make classification, and a random forest algorithm.
This repository is dedicated to my revision and learning journey of Machine Learning concepts, starting from the basics and progressing towards advanced topics. Here, you will find my notes, code implementations, and projects as I explore the fascinating realm of Machine Learning.
While doing machine learning projects, managing code in a structured way is very crucial, so this repository contains a template for structuring a Python project. which I follow while doing the machine learning projects.
This repository contains code and resources for a project focused on predicting handwritten digits using a neural network. The project explores the popular MNIST dataset, which consists of a large collection of handwritten digit images.
The Nepali Vehicles Dataset is a collection of images depicting various vehicles commonly found in Nepal.
This repository provides a collection of Nepali speech recordings and corresponding transcriptions. The dataset is designed for training and evaluating speech-to-text models. It contains 339 audio files, each lasting 30 seconds, in WAV format. The transcriptions are provided in plain text files (.xlxs).
This repository contains my notes, examples, and exercises on Pandas from Kaggle's "Learn Pandas" tutorial.
Basic Crud Website using HTML, CSS, NodeJS,Postgresql
Python
This project is a robust log parser built with Python and React. The backend is powered by Python, utilizing the multithreading concept to efficiently parse large log files. This allows for concurrent processing, significantly reducing the time it takes to parse logs compared to a single-threaded approach.
incredible 3D developer portfolio website with awesome graphics - built with React & Three.js πͺ
This project focuses on enhancing the security of different places, like public areas and banks, by implementing a robust gun detection and alert system.
Simple script to automatically annotate images using YOLOv8.