Discover amoshnin/Next-eCommerce Open Source project

Full Ethereum wallet application for managing your assets 🚀 💸 Securely store and send your Ethereum-based assets (React Native JS)

RN-EthereumWallet

🎈 Curated collection of advanced animations that I have developed using (Swift UI for iOS) and (React Native for iOS/Android). Source code is intended to be reused by myself for future projects.

Mobile-Animations

My machine learning pet project on (E-Commerce product reviews) with (Pairwise Ranking and Sentiment Analysis)

ML-Pairwise.Ranking.and.Sentiment.Analysis

NestJS (Express + TypeORM + GraphQL + MongoDB) codebase containing real world examples (CRUD, auth, advanced patterns).

GUIDE-Node-NestStructure

📘 Harvard University - CS50's "Introduction to Artificial Intelligence with Python" course solved assignments. Files include complete source code, data & video illustrations of problem solutions

Harvard.Python-Machine.Learning

📘 Stanford University - CS193p Spring 2020 - Developing Apps for iOS (SwiftUI). Files include complete source code and images of final applications.

Swift.Stanford-iOS.Development

In-browser pixel editor with undo & redo using Webassembly with languages: Rust & Javascript. Immutable data structures are used improve the storage of state in our re-do/un-do queue.

Rust-PixelEditor

Rust

RN-InPhone

Mobile crypto currency marketplace platform with crypto wallet integration. Built with TypeScript (React Native and Redux)

🎈 List of all my open source CAD (Fusion 360) plugins I developed/maintained/improved and have been using for personal work automation of using Fusion 360 CAD Software.

CAD-Plugins

⚡️ Small programming language and interpreter that supports fundamental programming concepts. Inspiration is heavily taken from the BASIC language and it is written in TypeScript

TypeScript-Programming.Language

✨ FullStack Monorepo template | Frontend Next JS, Backend Nest JS, Mobile Expo React Native. With integrated Jest Testing 🧪

TPL-JSMonorepo

My machine learning pet project on demand prediction of driver availability using multistep time series analysis

ML-Demand.Prediction.of.Driver.Availability

Work-Logs.Processing

Microcontroller-Arduino.Robot.Catapult

My machine learning pet project on predicting future ride requests for a particular region at a given time using Time Series Forecasting and Clustering with Mini-Batch K-means Algorithm

ML-Taxi.Service.Demand.Prediction

This repository contains my CAD project in which I've designed an Innovative Desk Lamp for working professionals, students and niche specialists requiring optimal desk lighting solutions.

CAD-Innovative.Desk.Lamp.Design

GUIDE-MongoDB

Swift-TasksManager

Python.ML-Terrorism.Analysis

ML-Theory.for.Learning.to.Rank.Algorithms

My machine learning pet project on Credit Card Fraud Detection as a Classification Problem

ML-Credit.Card.Fraud.Detection.Classification

My machine learning pet project on Customer Review Classification using Deep Learning methods (GRU)

MATLAB-Machine.Learning.Algorithms

MATLAB

ML-Customer.Review.Classifier.with.Deep.Learning

My machine learning NLP pet project on performing detection of duplicates amongst Quora questions (questions with same meaning)

ML-Quora.Duplicate.Questions.Detector

My machine learning pet project on predicting whether or not a loan should be given to an applicant using Gradient Boosting

ML-Loan.Eligibility.Prediction.with.Gradient.Boosting

Swift-Neeo

ML-Theory.for.Introductory.Skills.for.Machine.Learning

UNIVERSITY-CSE1100

ML-Apache.Spark

Rust-DataStructures

GRP-QuickEat

GRP-FastShop

Python.ML-Sales.Analysis

My machine learning pet project on building a face recognition system using FaceNet

ML-Face.Recognition.System.with.FaceNet

FullStack Blockchain Network with Cryptocurrency from scratch. Uses Proof-Of-Work cryptographic zero-knowledge consensus algorithm proof. Inspired by Bitcoin 🚀

BLK-Blockchain

Artificial Intelligence that plays the Flappy Bird game using a neural network. Uses NEAT (NeuroEvolution of Augmenting Topologies) Python

ML-Gameplay.Learning

E-Commerce clothing website marketplace platform. Built with TypeScript (React JS, Redux & Node JS) 🤩 🚀

GRP-Maritel

React-University.Modules.Structurer

Decentralized crowdfunding web3 application. Built using Ethereum cryptocurrency (Solidity Smart Contracts) and React front-end

BLK-Crowdfunding

Vue

GRP-MoneyMix

Mobile financial budgeting cross-platform app. Built with TypeScript (React Native and Redux)

Data Structures and Algorithms in Swift. Fundamentals of Computer Science (Comprehensive explanations in readme with code examples)

Swift-DataStructures.Algorithms

Advanced JavaScript/TypeScript | Syntax, Code Challenges, Methodologies, Patterns and Algorithms 🥰 🚀

GUIDE-JS.TS-Advanced

⚡️ Visualization and Audibilization Tool for various Sorting Algorithms for educational purposes (Sorting: Merge, Quick, Heap, Bubble)

R-Sorting.Algorithms.Visualizer

ML-Augmented.Reality.CutPaster

🍒 My replica realisation of famous game: "Game of Life" (invented by mathematician John Conway) in Python & PyGame. Game components are implemented as classes in accordance with OOP principles 🦾

Python-Game.of.Life

My machine learning pet project on Conversational Chatbot application using the NLTK text classification library

Java-SpringBoot.Monolith-and-Microservices

Java

Artem711

Information about me

ML-Conversational.Chatbot.with.NLTK

Personal outsource NPM modules 👨‍💻

ML-Computer.Vision

GRP-Packages

Multiplatform Courses provider app (iPhone iOS 14, iPad OS 14, Mac OS)

GRP-Swift-DesignCode

📘 MIPT University - Olympiad School of Competitive Programming (C++) Curated repository with full explanations, solutions & written lectures collected throughout my academic experience at MIPT school

MIPT.CPP-Competitive.Programming

Swift UI cross-platform app for tracking COVID-19 infection (Multiplatform iOS 14 + Widget) 🦠 📈

Swift-COVID19.Tracker

My machine learning pet project on Customer Churn Prediction Analysis using Ensemble Techniques

ML-Customer.Churn.Prediction

GUIDE-Stripe

R-Netflix

📘 List of (Algorithms, Data Structures & Coding Problems) 🐍 Implemented in Python with detailed explanations and links to further readings | Preparation for coding interviews 🚀

CS.Python-DataStructures.Algorithms

ML-Abstractive.Text.Summarisation.with.Transformers.BART

My machine learning pet project on Abstractive Text Summarisation using Google's Transformers-BART model to generate news article headlines

⚡️ Tool for visualizing generic recursive function written in JavaScript/Python. Functions are animated using tree structures. It aids identification of function time complexity & call stack depth

R-Recursion.Tree.Visualizer

Swift-SmoothiesShop

GUIDE-GraphQL

My machine learning pet project on Credit Card Fraud Detection as an Anomaly Detection Problem with Autoencoders

ML-Credit.Card.Fraud.Detection.Anomaly.Detection

My machine learning pet project on topic modelling using K-Means clustering to group customer reviews

ML-Topic.Modelling.to.Group.Customer.Reviews

My machine learning pet project on Human Activity Recognition Using Multiclass Classification with fitness data from a smartphone tracker

ML-Human.Activity.Recognition

RN-Fashion

Swift-CountriesStats

🚀 Advanced Data Visualizations (D3.js) and interactable animations. Huge variety of dynamic & interactive graphs and charts made with D3.js library

JS-D3

My machine learning pet project on contextualising customer data provided by Expedia Group Travelling Agency to predict the likelihood of a user staying at 100 different hotel groups

ML-Expedia.Agency.Hotel.Recommendation

🎈 Curated collection of starter templates for TypeScript projects for medium to large size. Projects targets range from: web to mobile to backend. Projects have unit tests integrated.

TypeScript-Templates

Python-Kaggle.Competitions.Drafts

Mobile food ordering and home delivery marketplace applications for customers and couriers. Built with TypeScript (React Native and Redux)

GRP-Pomidoro

Developed & mantained app with a guided process to check and test all of the main components of an Android phone. Integrated features for testing: cellular, WiFi, display, touch-screen, GPS, audio, camera, sensors, memory, CPU & battery. Integrated in-app purchases & account synchronization.

RN-PhoneTester

My machine learning pet project on performing image classification of plant species using different benchmark classification techniques

ML-Plant.Species.Image.Classifier

Notebook of problems and solutions for 300+ competitive programming problems that I solved during practice

CPP-Competitive.Programming.Notebook

⚡️ Visualization tool for various pathfinding and recursive division maze-generation algorithms. List: (A* Search, Depth-First Search, Breadth-First Search, Greedy Best-First Search)

R-Pathfinding.Algorithms.Visualizer

This is my machine learning pet project that contains the code and documentation for a comprehensive data analysis and machine learning project focused on predicting diabetes based on a diverse set of factors. The project is divided into three parts: Exploring the Dataset, Building the Classification Model, and Conclusion.

ML-Medical.Diabetes.Prediction

ML-Real.Time.Streaming.of.Twitter.Sentiments

My machine learning / big data pet project on building a pipeline for real-time streaming of twitter sentiments with AWS-EC2 and Apache NiFi

A repository to show off to the community methods of testing NestJS including Unit Tests, Integration Tests, E2E Tests, pipes, filters, interceptors, GraphQL, Mongo, TypeORM, and more!

GUIDE-Node-NestTest

✨ Next JS - Platform for easily adding user reviews, feedback, and comments to your website in one line of code.

Next-FastFeedback

Handwritten Digit Recognition - developed using a simple neural network (multilayer perceptron) with Numpy, Tensorflow and Keras. PyGame is used to receiving user input through a canvas window.

ML-Handwritten.Digit.Recogniser

Implemented the skip gram algorithm in NLP for word embeddings on a set of documents.

ML-LLM.Courses.Platform.Questions.Answerer

ML-LLM.Retail.Store.Language.Database.Query

ML-Skip.Gram.for.Word.Embeddings

Python-OOP

Cpp-OOP

My machine learning pet project on Customer Churn Prediction Analysis using Ensemble Techniques deployed on AWS

Java-Learning.Workspace

ML-Customer.Churn.Prediction.Deployment.on.AWS

My machine learning pet project on a recommender system used in retail

ML-Retail.Recommender.System

My machine learning pet project on Fake News Classification using Deep Learning methods (RNN, LSTM, GRU)

ML-Fake.News.Classifier.with.Deep.Learning

My machine learning pet project on early fire detection with image segmentation using deep learning (Mask R-CNN with Tensorflow)

ML-Fire.Detection.with.Image.Segmentation.using.Deep.Learning

My ML pet project on predicting failures at production line of Bosch using measurements & tests made for each component along the assembly line.

ML-Production.Line.Failure.Detector