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This is a book on Python for beginners, covering topics from basic programming to machine learning.
Examples built with TensorFlow.js, a library for building machine learning models in the browser.
A flexible workflow orchestration platform that seamlessly integrates data, ML, and analytics stacks.
A flexible and powerful parameter server for large-scale machine learning models and distributed training.
A comprehensive JavaScript learning resource for beginners to master the language.
A curated list of roadmaps and resources for developers to discover and learn new technologies.
An educational tutorial on recommendation systems built with Python, including algorithms and use cases.
A Python library for building and analyzing recommender systems, including collaborative filtering and matrix factorization.
An open-source feature store for AI/ML applications
A collection of Jupyter notebooks for teaching and learning Python 3, useful for developers seeking to improve their Python skills.
A repository that collects computer vision, deep learning, and machine learning research papers for developers.
Postgres-based database with GPU acceleration for machine learning and AI applications.
A comprehensive programming learning resource with tutorials, courses, and projects for developers of all levels.
An open-ended embodied agent with large language models for exploring and learning in Minecraft environments.
A comprehensive tutorial on practical AI and machine learning, with Jupyter Notebook examples.
A deep learning library for image recognition tasks using residual neural networks.
Provides access and documentation for the Quick, Draw! dataset, a large collection of doodles used for machine learning research.
Flower is a federated learning framework that enables machine learning on decentralized data.
A visual guide to learning JavaScript, a popular programming language for web development.
A comprehensive index of learning resources for Go, the popular statically typed programming language.
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