abiola9525

abiola9525's Stars

• facebook/react-native

  A framework for building native applications using React

  Language:C++118k3.6k26.1k24.3k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript118k2.1k9614.6k

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python68.2k57108.1k

• acheong08/ChatGPT

  Reverse engineered ChatGPT API

  Language:Python28k2898054.5k

• mindsdb/mindsdb

  The platform for building AI from enterprise data

  Language:Python26.3k3983.9k4.8k

• cloudcommunity/Free-Certifications

  A curated list of free courses & certifications.

  26.2k647921.9k

• rawandahmad698/PyChatGPT

  ⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

  Language:Python4.2k97118447

• AlexTheAnalyst/SQL-Code

  All SQL Code or Documents from AlexTheAnalyst YouTube videos

  Language:TSQL624331293

• codingstella/projects

  Source Code of all projects that I upload on Instagram

  Language:CSS2557163

• HealthStack01/Frontend

  Language:JavaScript1093311

• codingmarket07/Resume-CV-Design-N19

  How to create the Resume/CV Design using HTML and CSS

  Language:HTML7481137

• daheige/rust-bible

  rust bible notes

  Language:Rust65208

• oreqizer/rust-notes

  Terse Rust learning material. :crab:

  Language:Rust58213

• roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8

  This project walks you on how to create a twitter sentiment analysis model using python. Twitter sentiment analysis is performed to identify the sentiments of the people towards various topics. For this project, we will be analysing the sentiment of people towards Pfizer vaccines. We will be using the data available on Kaggle to create this machine learning model. The collected tweets from Twitter will be analysed using machine learning to identify the different sentiments present in the tweets. The different sentiments identified in this project include positive sentiment, negative sentiment and neutral sentiment. We will also be using different classifiers to see which classifier gives the best model accuracy.

  Language:Jupyter Notebook37106

• bdelate/django-flutterwave

  Django integration for Flutterwave Rave payments and subscriptions

  Language:Python226412

• adewes/pdf-printer

  A Python + PyQt script that generates PDFs from HTML templates

  Language:Python9331

• tonybolanyo/django-invoices

  Microservice for create simple invoices using django and django rest framework

  Language:Python9313

• rkeytech/invoice-maker

  A simple Python script which can generate an invoice for your services or your products.

  Language:Python8200

• thiere18/invoice-generator-api

  A invoice api generator with FastApi + sqlalchemy + oauth2

  Language:Python6101

• pranita28Dane/Invoice-Generator

  Project Title : Invoice Generator In Django

  Language:Python5100

• mahanfr/Meydoon

  Open source freelancing website using Django

  Language:Python3201

• Malayanil/Inventory-Invoice-Software

  This is an Inventory Management System tied up with a Invoice Generation System for a store.

  Language:Python3020

• abiola9525/complete-authentication-with-JWT-and-Social-Auth-in-django-rest-framework-and-react

  this is a django rest framework project authentication with jwt and Oauth

  Language:Python10

• abiola9525/DJ_Islamic-Center

  Language:CSS1100

• everybees/python_with_cohorts

  Language:Python12032

• jameshenry2020/BankApp

  internet banking application for online transaction

  Language:JavaScript110

• jhonat23/Receipt-invoice_with_Python

  This script have a basic model for a receipt or invoice. It is prepared for use with list in Python

  Language:Python1101

• Motungeorge6/python_with_cohorts

  Language:Python1000

• Sajjad-Qureshi/Electronic-Store-Sales-Analysis

  Real World Project using Python, Numpy, Pandas and Matplotlib.

  Language:Jupyter Notebook1201

• tobidada001/Django-React-Blog

  Language:CSS110