This repository provides a tutorial implementation of AutoML for batch and online learning.
Open source
24 alternativesNeural Networks and Deep Learning
vsML-From-Scratch
Neural Networks and Deep Learning vs ML-From-Scratch
How do Neural Networks and Deep Learning and ML-From-Scratch compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Neural Networks and Deep Learning | ML-From-Scratch |
|---|---|---|
| What it is | 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. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Neural Networks and Deep Learning and ML-From-Scratch.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Open source
24 alternatives
This repository contains more than 50 tutorials and implementations for generative AI agent techniques.
Notebooks and code for the book "Introduction to Machine Learning with Python".
This Coursera course teaches supervised machine learning, regression, and classification with Python.
The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.