Approaching (Almost) Any Machine Learning Problem is a GitHub repository or organization with source code, releases, documentation, or project.
Directory
Search results
Published directory entries matching your search.
Machine Learning – Software Engineering Daily provides machine-learning models, research, training resources, or evaluation tools.
Machine Learning Roadmap is a text guide, note, or pasted reference with organized instructions or resource links.
Machine Learning Visualized is a GitHub repository or organization with source code, releases, documentation, or project resources.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
Simple and efficient library to minimize expensive and noisy black-box functions.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
Where the pros learn the AI skills of the future. Explore your creativity with our hands-on AI courses.
Machine Learning made beautifully simple for everyone. Take your business to the next level with the Machine Learning platform.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
Andrew Ng’s Machine Learning at Stanford University provides AI-assisted learning, courses, tutorials, or study support.
Sebastian Thrun’s Introduction To Machine Learning provides AI-assisted learning, courses, tutorials, or study support.
A visual and practical guide by Jay Alammar and Maarten Grootendorst.
Distribution, publishing, funding, marketing, and a hands-on team for independent artists. We.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Teachable Machine provides machine-learning models, research, training resources, or evaluation tools.
Boring Report: News by AI - Information Without the Noise.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Ask questions to your documents without an internet connection, using the power of LLMs.
Browse verified AI tools by use case, pricing, and category without the directory noise.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
Machine Learning ka Chilla is a video resource with tutorials, demonstrations, reviews, or related media.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.