Looking for something like rasbt/LLMs-from-scratch? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 8 are open source.
This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | ML Engineering | — | Not stated | — |
| 2 | LLM Course | — | Yes | — |
| 3 | Hands-on Train and Deploy ML | — | Yes | — |
| 4 | Machine Learning Visualized | — | Yes | — |
| 5 | Learn-Python | — | Yes | — |
| 6 | Data Science Ipython Notebooks | — | Not stated | — |
| 7 | Handson ML3 | — | Yes | — |
| 8 | Virgilio | — | Not stated | — |
| 9 | Sourcecodester | — | Not stated | Web |
| 10 | Scipy Lectures | — | Not stated | Web |
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
Scientific Python Lectures is a set of learning materials about Python for scientific computing.
Tpoint Tech publishes free online tutorials and interview questions across programming languages and technology subjects.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
Virgilio organizes data science e-learning resources in a structured project overview.
ItSourceCode offers free source code, capstone projects, and programming tutorials in several languages.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
This guide curates generative AI research updates, interview resources, notebooks, courses, and learning paths.
aman.ai publishes course notes and learning materials for Stanford classes in artificial intelligence and deep learning.
Transformer Explainer visualizes how transformer neural networks work through an interactive tool.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
This Awesome DataScience repository collects learning material and resources about data science.
Mallet provides machine learning tools for language processing, according to its project title.
A collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
Machine Learning Visualized organizes its material as a collection of visual learning resources in a repository.
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
