Looking for something like ML Engineering? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 8 are open source.
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | rasbt/LLMs-from-scratch | — | Not stated | — |
| 2 | LLM Course | — | Yes | — |
| 3 | Staying | — | Not stated | Web |
| 4 | Hands-on Train and Deploy ML | — | Yes | — |
| 5 | Machine Learning Visualized | — | Yes | — |
| 6 | Handson ML3 | — | Yes | — |
| 7 | Data Science Ipython Notebooks | — | Not stated | — |
| 8 | Machine Learning Roadmap | — | Not stated | Web |
| 9 | Codecademy's Data Science | — | Not stated | Web |
| 10 | Learn-Python | — | Yes | — |
This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
Staying visualizes Python, JavaScript, and C/C++ execution step by step, showing variables and changing data structures.
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 series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
Scientific Python Lectures is a set of learning materials about Python for scientific computing.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.
Virgilio organizes data science e-learning resources in a structured project overview.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
Tpoint Tech publishes free online tutorials and interview questions across programming languages and technology subjects.
ItSourceCode offers free source code, capstone projects, and programming tutorials in several languages.
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.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
A daily study plan for people working toward becoming machine learning engineers.
A curated collection gathers learning resources for generative AI, machine learning, LLMs, RAG, and related topics.
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.
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
