Pinned Repositories
accountgo
Accounting System built in ASP.NET MVC, ReactJS, MobX
Ado.net-Entity-Framework-Membership-Provider
EFMembership can Manage Roles and User Accounts over your Database and Website
ContentManagementSystem
Content Management System
dotnetcorecms
A Simple Content Management System built on .NET Core 2.1
FTP
FTP Class to Create, Delete, Upload, Download files and folders from local mechine to remote host.
Hasher
A simple cryptographic hash with salt algorithms on SHA512 crypto class.
Restaurant-App
Restaurant App 🍔 is a sample open source e-Commerce 🛒 application for ordering foods, powered by polyglot microservices :wheel_of_dharma: architecture and cross-platform development 📱🖥 🐳
RestaurantBillingSystem
A simple Restaurant Management System with some basic features. Looking forward to add Inventory management with this.
video_conference_system
A simple implementation for a peer-to-peer video conference system for windows that using UDP and TCP protocols to send and receive video. It's a good practice on socket and multithreaded programming and dealing with camera for real time applications.
VideoConference
Private video conference
sthapa123's Repositories
sthapa123/dotnetcorecms
A Simple Content Management System built on .NET Core 2.1
sthapa123/5-day-weather-forecast
Python application which calls the OpenWeatherMap API to get a 5 day weather forecast
sthapa123/advi
Interactive weather forecast visualization using Bokeh
sthapa123/Algorithms
A collection of algorithms and data structures
sthapa123/bokeh-stock-market
A live visualization of stock prices and indicators using bokeh
sthapa123/cmak-kafka-cluster-docker-compose
sthapa123/coding-interview-university
A complete computer science study plan to become a software engineer.
sthapa123/CraigslistScamDetector
sthapa123/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
sthapa123/http-step
Rundeck HTTP Workflow Step Plugin
sthapa123/ignite-essentials-developer-training
[Developer Training] Apache Ignite Essentials - Key Design Principles for Building Data-Intensive Applications
sthapa123/ignite-spring
Spring (not Boot) Apache Ignite client with "mains".
sthapa123/ignite-streaming-monitoring-demo
Stream data to Apache Ignite and monitor the state of the cluster with GridGain Control Center
sthapa123/java-algorithms-implementation
Algorithms and Data Structures implemented in Java
sthapa123/jetson_nano
This repository is a collection of scripts/programs I use to set up the software development environment on my Jetson Nano, TX2, and Xavier NX.
sthapa123/kafka_stock
A financial data processing and visualization platform using Apache Kafka, Apache Cassandra, and Bokeh.
sthapa123/MetarParser
A java program decoding metar and taf
sthapa123/mongodb-currency-analysis
MongoDB 5.0 Time Series - Crypto Currency Analysis
sthapa123/mongodb-grafana
MongoDB plugin for Grafana
sthapa123/pyEX
Python interface to IEX and IEX cloud APIs
sthapa123/python-snippets
sthapa123/requests_pkcs12
Add PKCS#12 support to the Python requests library in a clean way, without monkey patching or temporary files
sthapa123/spring-data-training
Template project for Apache Ignite with Spring Boot and Spring Data Training
sthapa123/spring-kafka-ignite-zeppelin-example
Example how to integrate different data sources like Kafka topics, Csv files into Ignite DB and do analysis with Apache Zeppelin
sthapa123/tensorflow-rpm
sthapa123/time-series-forecasting
In this project, we analysed the timeseries for the forecasting of Coal prices in South Africa. We did extensive 'Exploratory Data Analysis' with the help of which we performed data cleaning, processing along with feature selection and extraction. We checked the timeseries for stationarity and seasonality using both graphical and mathematical models. We handled outliers in some years. We believe the reason for the outliers is the economic crisis in 2008. There was a sharp slowdown in demand, and with mining output remaining stubbornly high. Therefore, coal benchmarks fell down. We trained Classical timeseries forecasting method: ARIMA (Auto Regressive Integrated Moving Average), and a Deep Learning method using LSTM along with extensive hyperparameter search using TALOS library. We calculate the metric R^2 (coefficient of determination) regression score function. The R^2 score obtained using ARIMA is 0.96 in comparison to 0.61 which is achieved by LSTM model. For this, not very complex, timeseries ARIMA outperforms the LSTM model as we are trying an overly complex Deep Learning method to fit on a simple timeseries data.
sthapa123/TimeSeriesConvNet
Convolutional neural network for analysis of time series converted to images.
sthapa123/uhabits
Loop Habit Tracker, a mobile app for creating and maintaining long-term positive habits
sthapa123/ViMusic
An Android application for streaming music from YouTube Music.
sthapa123/wagtail
A Django content management system focused on flexibility and user experience