Looking for something like Aman's AI Journal • Papers List? Here are 7 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 2 are open source.
Aman’s AI Journal collects seminal research papers and course notes for artificial intelligence and deep learning.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Andrew Ng’s Machine Learning at Stanford University | — | Not stated | Web |
| 2 | Sebastian Thrun’s Introduction To Machine Learning | — | Not stated | Web |
| 3 | Stanford CS336: Language Modeling from Scratch | — | Not stated | Web |
| 4 | Spinning Up | — | Not stated | Web |
| 5 | pattern classification | — | Yes | — |
| 6 | Neural Networks and Deep Learning | — | Not stated | — |
| 7 | ML-From-Scratch | — | Yes | — |
This Coursera course teaches supervised machine learning, regression, and classification with Python.
Udacity’s Introduction to Machine Learning course covers foundational machine learning and data analysis.
Stanford CS336 provides course schedules, assignments, and materials for language modeling from scratch.
Spinning Up provides documentation and learning resources for deep reinforcement learning.
This repository collects tutorials and examples for learning machine learning and pattern classification.
This repository contains code samples for the book Neural Networks and Deep Learning.
ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.
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
