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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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
About helping professional programmers confidently apply machine learning algorithms to address complex problems.