Practical Deep Learning
course.fast.aiPractical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Looking for something like MLOps Guide? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 2 are open source.
This guide introduces MLOps concepts and demonstrates their use with tools including DVC, CML, IBM Watson, Terraform, and Cookiecutter.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Practical Deep Learning | — | Not stated | Web |
| 2 | The Algorithms - C++ | — | Not stated | Linux, macOS, Web |
| 3 | Curriculum via Metro map | — | Not stated | Web |
| 4 | BirdSounds | — | Not stated | Web |
| 5 | Artificial Intelligence: A Modern Approach | — | Not stated | Web |
| 6 | whoBIRD | — | Not stated | Android, Web |
| 7 | 100-Days-Of-ML-Code | — | Yes | — |
| 8 | computer-vision-in-action | — | Not stated | — |
| 9 | Introduction to machine learning with scikit-learn | — | Not stated | — |
| 10 | Hugging Face LLM Course | Free | Not stated | Web |
Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Study algorithms implemented in C++ through this open-source learning repository.
This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.
The Artificial Intelligence: A Modern Approach textbook site includes courses, exercises, and related resources.
This Android app recognizes bird species from their sounds and includes an extensive database of bird recordings.
Follow a 100-day sequence of machine-learning coding exercises in this repository.
A computer vision learning platform with interactive online code, an ebook, source code, and a reader community.
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
The Hugging Face LLM Course teaches large language model concepts through documentation and related learning resources.
Apply clean code concepts to TypeScript projects with examples organized by programming topic.
This Unsloth guide introduces the basics and best practices of fine-tuning language models.
Lab Safety Guide introduces laboratory safety equipment and guidance for lab environments.
Battery University offers educational information about battery mechanics and basic battery concepts.
Interactive 4D Handbook lets visitors manipulate four-dimensional shapes and explore 4D concepts.
HyperPhysics presents a concept reference with indexes for videos, demos, class materials, papers, and connections to chemistry, geophysics, and biology.
Apply clean code concepts to PHP projects using this collection of guidance and examples.
Read KDE Human Interface Guidelines, with sections on design, formatting, and documentation practices.
Browse a curated collection of HTML5 resources, including articles, standards, and multimedia topics.
Consult GNOME Human Interface Guidelines for design principles, app naming, icons, navigation, and interface styling.
Apply practical universal design approaches, including semantic HTML, to make websites and apps accessible.
Learn to create and animate images in HTML with SVG through this tutorial, covering shapes, properties, and interactivity.
Microsoft Learn outlines design guidelines and interface examples for Windows applications.
Google’s student page offers AI training and tools for studying, writing, and career preparation, including Gemini learning resources.
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