Discover @mwanjajoel Open Source projects

@mwanjajoel

mwanjajoel

Stars
43
Global Rank 367,483 (Top 13 %)
Followers 61
Following 75
Registered almost 11 years ago
Most used languages

Python
35.3 %

JavaScript
17.6 %

Swift
17.6 %

HTML
11.8 %

Jupyter Notebook
11.8 %

Java
5.9 %
Location 🇺🇬 Uganda
Country Total Rank 97
Country Ranking

Swift
2

Jupyter Notebook
11

Python
15

HTML
92

Java
123

JavaScript
196

django-momoapi

This is a Django package for the MTN MoMo API.

bluesms

Python SDK for the BlueSMS Uganda service.

social-media-scraper

Jupyter Notebooks demonstrating scraping data from social media sites. Written in Python.

Jupyter Notebook

wordgenerator

A simple experiment Flutter app that generates word pairs.

random-dog-bot

RandomDog is a simple telegram bot that sends you a random image of a dog. This is my first telegram bot 🙈

vector-embeddings-demo

Repo contains source code for demonstrating the effectiveness of vector embeddings

clothia

Simple machine learning model built using Tensorflow that classifies images of clothes. It uses the Fashion MNIST dataset

Jupyter Notebook

firebase-cloud-functions

Showcasing firebase cloud functions.

WhatsThat

iOS App that detects an object pointed at by the Camera. Uses Inceptionv3, an Image recognition Machine Learning model

space-x-launches

Keeping track of SpaceX launches. Written using NextJS and GraphQL. #Mars2030 🚀

streamlit-dash

Simple application that visualises stock prices. Written using Python and powered by Streamlit

JambuCoin

Simple Swift Application that demonstrates the concept of BlockChain by using two dummy wallets.

swiftNetwork

This simple iOS App demonstrates getting an image from a URL in Swift 4.0

wireless-iOSApp-Testing

Hello there! This is a sample HTML file that can be uploaded to a webserver together with the manifest file and ipa so that you can distribute your beta iOS App to users faster and easier.

nextjs-chakra

Create Next App default landing page recreated using ChakraUI

emmere

Emmere means food in Luganda. ML model that classifies food. Written using PyTorch

llama-deploy

Llama2 AI model served via a REST API endpoint. Powered by FastAPI and Docker

EasyLocate

A simple mobile application that gets the current Longitude and Latitude of the current user. Built using React Native