Looking for something like LLM Course? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 10 are open source.
This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | rasbt/LLMs-from-scratch | — | Not stated | — |
| 2 | ML Engineering | — | Not stated | — |
| 3 | aman.ai | — | Not stated | Web |
| 4 | Awesome Generative AI Guide | — | Yes | — |
| 5 | Transformer Explainer | — | Not stated | Web |
| 6 | Machine Learning Visualized | — | Yes | — |
| 7 | Handson ML3 | — | Yes | — |
| 8 | System Designer | — | Not stated | Web |
| 9 | AI-For-Beginners | — | Yes | — |
| 10 | ML Course Notes | — | Not stated | — |
This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
aman.ai publishes course notes and learning materials for Stanford classes in artificial intelligence and deep learning.
This guide curates generative AI research updates, interview resources, notebooks, courses, and learning paths.
Transformer Explainer visualizes how transformer neural networks work through an interactive tool.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
System Designer teaches software architecture through lessons, quizzes, and case studies.
AI for Beginners is a Microsoft course organized as 24 lessons across 12 weeks.
A collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
LLM Visualization presents a three-dimensional animated visualization of a language model with a walkthrough.
Algorithms Cheatsheet Resources collects reference material for programming and algorithms.
Awesome YouTubers collects channels that teach a range of subjects through video.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
A daily study plan for people working toward becoming machine learning engineers.
Google Codelabs provides guided, hands-on tutorials for building applications and adding features across developer technologies.
Mallet provides machine learning tools for language processing, according to its project title.
Developer Roadmap provides interactive roadmaps, guides, articles, and educational content for developers.
Roadmap.sh publishes community-created developer roadmaps, guides, articles, and courses for learning technical skills.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
This repository contains more than 250 notebooks for fine-tuning and reinforcement learning across several model types.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
