Images by the author | chatgptMachine learning is a vast and dynamic field that includes a wide range of domains, including computer vision, natural language processing, core machine learning algorithms, and reinforcement learning. Taking a course can help you learn the theoretical foundation, but in many cases it does not provide the practical experience needed to solve real problems or demonstrate your capabilities to potential employers.
To get a job as a machine learning engineer, it is essential to build a diverse portfolio of projects that showcase both technical skills and practical experience.
In this article, we review 10 GitHub repositories featuring a collection of machine learning projects. Each repository contains sample code, tutorials, and guides to help you learn by running and extending your portfolio in impactful, real-world projects.
Machine Learning Project GitHub Repository
1. The ultimate deep learning resource list
link: Christoschristofidis/Awesome-Deep-Learning
A comprehensive collection of the best deep learning tutorials, projects, books and communities. This repository is essential for those who want to master neural networks, consider reinforcement learning, and stay up to date with the latest AI research.
2. Use 500+ Machine Learning & AI Project Code
link: AshishPatel26/500-Ai-Machine-Learning-Deep-Learning-computer-vision-nlp-projects-with-code
Explore over 500 real-world projects covering machine learning, deep learning, computer vision and NLP. Perfect for practical learners who are passionate about building practical skills across diverse domains.
3. Inspirational machine learning project ideas
link: Nirantk/Awesome-Project-Ideas
A list of great project ideas that span machine learning, NLP, computer vision, and recommended systems. Perfect for inspiration and recommended for final year students and alumni.
4. Top Deep Learning Projects on Github
link: aymericdamien/topdeelearning
A list of popular and trendy deep learning projects on Github ranked by star. Many of these projects are deep learning frameworks, tools, and resources, where several projects are deep learning frameworks, tools, and resources.
5. Data Analysis and Machine Learning Project Library
link: Rhiever/Data-Analysis-and-Machine-Learning-Projects
This repository is packed with educational materials, code, and datasets for data analysis and machine learning projects. If you are a machine learning educator, this resource is perfect for preparing lessons for your class and helping students learn machine learning concepts more effectively.
6. Amazing Generation AI Project
link: Steven2358/Awesome Generative-ai
A collection of latest generation AI projects and services, including text, images, audio and video generation tools. These tools and services can help you easily build your own projects and products. Given the focus on generator AI, this resource is perfect for beginners.
7. Machine Learning with Python: Mini Project
link: Devamoghs/Machine-Learning-with-python
This collection features small machine learning projects designed to help you understand core concepts. Learn to build and implement machine learning models to solve various problems using SCIKIT-LEARN.
8. Kaggle Solutions & Winning Ideas
link: Faridrashidi/Kaggle-Solutions
A comprehensive collection of Kaggle Competition solutions and ideas. This repository is especially useful as it allows you to learn from top machine learners and learn how to solve various problems to win the competition. Of the approximately 4,000 competitions, only three have been awarded the highest honors. This means you can find the best solutions and ideas for your project here.
9. Great Running Chain Tools and Projects
link: Kyrolabs/Awesome-Langchain
A curated list of tools and projects built with the Langchain framework. It is popular for developing applications with large language models and AI agents. Discover what developers are building using large language models (LLM) and get inspiration from your projects and startups, especially as investors want to join this AI trend.
10. Machine learning and deep learning summary
link: Orico/www.mlcompendium.com
An open knowledge sharing project by Dr. Ori Cohen, who compiles references, tutorials and resources for machine learning and deep learning. This is a valuable resource for expanding your knowledge and finding reliable learning materials.
Conclusion
Learning by doing it is the best policy. By working on these projects, you are not just practicing, you are building your portfolio and personal brand. Your job will introduce you to the world your creativity and problem-solving skills. To stay ahead of the curve and accelerate your growth, explore these machine learning project repositories regularly and start building your own portfolio today.
Abid Ali Awan (@1abidaliawan) is a certified data scientist who loves building machine learning models. Currently he focuses on content creation and creates technical blogs on machine learning and data science technology. Abid holds a Masters degree in Technology Management and a Bachelor of Arts degree in Telecommunications Engineering. His vision is to build AI products using graph neural networks for students suffering from mental illness.
