Top 5 Most Starred Artificial Intelligence Innovations on GitHub

This tech article covers open-source Artificial Intelligence innovations for aspiring Data Scientists in 2024.

Mrinal Walia
5 min readFeb 5, 2024

AI Innovations in 2024: From AI in healthcare and autonomous vehicles to Ethical AI, discover which project lies ahead for AI this year.

I have compiled a list of the most starred AI projects on Github, categorized by industry. These projects are available for free and offer a great starting point for aspiring Data Scientists and computer science students to explore and gain inspiration for unique and innovative project ideas of their own.

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1. AI in Healthcare — Monai

MONAI is an open-source framework based on PyTorch for deep learning in healthcare imaging, which is a part of the PyTorch Ecosystem.

Monai aims to establish a community of academic, industrial, and clinical researchers who will work together on a shared foundation. The goal is to develop end-to-end training workflows for healthcare imaging using multi-dimensional datasets.

This will provide researchers with a standardized and optimized approach for building and evaluating deep learning models.

GitHub | Website


2. Ethical AI — Shapash

Shapash is a Python library that provides clear and user-friendly visualizations and explicit labels to make machine learning interpretable and comprehensible to everyone.

Shapash’s Web app simplifies the comprehension of feature interactions and allows seamless navigation between local and global explainability. This project allows Data Scientists to develop Reliable and Transparent Machine Learning models.

GitHub | Website

Shapash App Demo (Source)

3. AI and IoT Integration — TDengine

TDengine is a data historian that’s specially designed for Industry 4.0 and Industrial IoT. It can handle real-time data ingestion, storage, analysis, and distribution of petabytes per day that are generated by billions of sensors and data collectors.

TDengine is a system that easily integrates with AI-driven analytics and other external tools. It has an open ecosystem that provides a complete solution to manufacturers for getting valuable insights and operational efficacy in the IIoT era.

GitHub | Website


4. Quantum Computing and AI—Pennylane

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. It allows you to train a quantum computer in the same way as a neural network.

GitHub | Website


5. AI in Autonomous Vehicles — Apollo

Apollo is the world’s most active and open autonomous driving platform. The Apollo intelligent vehicle control and canbus-proxy modules are precise, broadly applicable, and adaptive to different environments.

Their architecture accelerates the development, testing, and deployment of autonomous vehicles with high performance and flexibility.

GitHub | Website


What to DO NEXT?

Having learned about the latest artificial intelligence innovations in open-source projects, it’s time to put your skills to use. Let your innovative and creative minds lead you towards impactful applications of these projects.

All the best 😊

Do you have any questions?

Feel free to ask questions in the comments below or connect with me on my social media accounts. I’ll do my best to answer them.

LinkedIn | GitHub

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Mrinal Walia

Data Scientist and a Technical Writer! I will give you the best of Open-Source and AI.