Photo by the author ChatgptMachine learning is a enormous and active field, which includes a wide range of domains, including a computer vision, natural language processing, basic machine learning algorithms, reinforcement learning and many others. While taking courses can support learn theoretical basics, they often do not provide the practical experience needed to solve problems with a real world or demonstrate skills to potential employers.
To become ready to work as a machine learning engineer, it is necessary to build a variety of project portfolio that present both your technical skills and practical experience.
In this article we will review 10 GitHub repositories, which contain collections of machine learning projects. Each repository contains examples of codes, tutorials and guides that will support you learn by performing and expanding the portfolio with influential projects in the real world.
GitHub repositories for machine learning projects
1. The highest list of deep learning resources
To combine: Christoschristofidis/awesome-deep learning
A comprehensive collection of the best tutorials, projects, books and communities. This repository is necessary for anyone who wants to master neural networks, reinforcement learning and be up to date with the latest AI research.
2. Over 500 machine and AI learning projects with code
To combine: Ashishpatel26/500-Ai-Machine-Learning-Deep-Learning-Computer-Vision-Nlp-Projects-Z code
Browse over 500 actual projects including machine learning, deep learning, computer vision and NLP. Ideal for practical students willing to build practical skills in various domains.
3. Inspirational ideas for a machine learning project
To combine: Nirantk/Awesome-Projekt-Ideas
List of amazing ideas for projects including machine learning, NLP, computer vision and recommendator systems. Ideal for evoking inspiration and recommended for students and graduates of the last year.
4. The best projects of deep learning at GitHub
To combine: Amemericdamien/topdeeplearning
List of popular and popular projects of deep learning at GitHub arranged according to stars. While many of these projects, some of them are deep learning frames, tools and resources.
5. Data analysis and Library of Machine Training Projects
To combine: Rhiever/analysis of data-analysis and learning machines
This repository is full of didactic materials, code and data sets for data analysis and machine learning projects. If you are a machine learning teacher, this resource is ideal for preparing lessons for classes or helping students in more productive teaching the concept of machine learning.
6. Amazing generative AI projects
To combine: Steven2358/Awesome-Generative-Ai
A collection of contemporary AI generative projects and services, including tools for generating text, image, sound and video. These tools and services can support you easily build your own projects or products. Given the growing emphasis on generative artificial intelligence, this resource is ideal for beginners.
7. Machine learning from Python: mini projects
To combine: Devamoghs/Learning Machine-Z-Python
This collection contains tiny machine learning projects designed to support you understand basic concepts. You will learn to build and implement machine learning models, using scikit-learn for regression and classification to solve various problems.
8. Kaggle solutions and winning ideas
To combine: Faridrashidi/Kaggle-Solutions
A comprehensive set of Kaggle solutions and competition ideas. This repository is particularly useful because you can learn from students of the best machines and the way they solve various problems to win competitions. Of the approximately 4,000 competitions, only three receive the highest awards, which means that you will find here the best solutions and ideas for your projects.
9. Amazing Langchain tools and projects
To combine: Kyrolabs/awesome -lagchain
A specialized list of tools and projects built of Langchain Framework, which is popular in developing applications powered by huge language models and AI agents. Find out what programmers are building using huge language models (LLM) and derive inspiration for their own projects or startups, especially since investors are joyful to engage in this trend AI.
10. Compendium of machine learning and deep learning
To combine: Orico/www.mlcompendium.com
An open project for the division of knowledge of Dr. Ori Cohen, who compiles references, tutorials and resources for machine learning and deep learning. This is a valuable resource to broaden your knowledge and find trustworthy educational materials.
Application
Learning through action is the best policy. While working on these projects, you not only practice, build a portfolio and a personal brand. Your work shows your creativity and problems to solve problems to the world. To overtake the curve and accelerate your development, regularly research the repositories of machine learning and start building your own portfolio today.
Abid Ali Awan (@1abidaliawan) is a certified scientist who loves to build machine learning models. Currently, it focuses on creating content and writing technical blogs on machine learning and data learning technologies. ABID has a master’s degree in technology management and a bachelor’s title in the field of telecommunications engineering. His vision is to build AI with a neural network for students struggling with mental illness.