Looking for something like Neural Networks and Deep Learning? Here are 17 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 5 are open source.
This repository contains code samples for the book Neural Networks and Deep Learning.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Introduction to Machine Learning with Python | — | Not stated | — |
| 2 | Neural Networks: Zero to Hero | — | Not stated | Web |
| 3 | NirDiamant/GenAI Agents | — | Not stated | — |
| 4 | AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics | — | Yes | — |
| 5 | The 100-Page Language Models Book | — | Not stated | Web |
| 6 | Spinning Up | — | Not stated | Web |
| 7 | Homemade Machine Learning | — | Yes | — |
| 8 | OpenAI Cookbook | — | Yes | — |
| 9 | Andrew Ng’s Machine Learning at Stanford University | — | Not stated | Web |
| 10 | Machine Learning Mastery | — | Not stated | Web |
Notebooks and code for the book "Introduction to Machine Learning with Python".
This course teaches how to build neural networks from scratch in code.
This repository contains more than 50 tutorials and implementations for generative AI agent techniques.
This repository provides a tutorial implementation of AutoML for batch and online learning.
The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
Spinning Up provides documentation and learning resources for deep reinforcement learning.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
The OpenAI Cookbook provides examples and guides for using the OpenAI API.
This Coursera course teaches supervised machine learning, regression, and classification with Python.
Machine Learning Mastery shares guidance for developers learning to apply machine learning.
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
TutorialSearch searches and compares online tutorials and courses across learning platforms.
NN Visual lets users configure and train neural networks while viewing layer activations and learning steps.
Animated AI creates animations and instructional videos about neural networks.
ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.
This repository collects tutorials and examples for learning machine learning and pattern classification.
Aman’s AI Journal collects seminal research papers and course notes for artificial intelligence and 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
