Browse a list of machine learning models for Apple Core ML, collected in this repository.
Applied ML
vsAwesome Machine Learning
Applied ML vs Awesome Machine Learning
How do Applied ML and Awesome Machine Learning compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Applied ML | Awesome Machine Learning |
|---|---|---|
| What it is | This repository collects company papers and technical blogs about machine learning in production. | A curated list of machine learning frameworks, libraries, and software maintained in a GitHub repository. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Applied ML and Awesome Machine Learning.
Open source
24 alternativesThis repository collects machine learning resources and tools for the Ruby programming language.
Open source
24 alternativesAwesome TensorFlow lists experiments, libraries, and projects related to TensorFlow.
Open source
24 alternativesA curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.
Open source
24 alternativesExplore packages, frameworks, and software in Awesome R, a curated resource list for the R ecosystem.
Awesome RAG Production curates tools, frameworks, and practices for building retrieval-augmented generation systems.
Open source
24 alternatives






