ML.NET provides an open source, cross platform machine learning framework for .NET applications.
Open source
24 alternativesHow do MLJ and Awexplor.github.io compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | MLJ | Awexplor.github.io |
|---|---|---|
| What it is | The MLJ project provides machine learning tools and a framework for Julia. | Explore GitHub Awesome lists through AwesomeExplorer, a web app for finding repositories and resources. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Web |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both MLJ and Awexplor.github.io.
ML.NET provides an open source, cross platform machine learning framework for .NET applications.
MixedModels.jl fits statistical mixed effects models using the Julia programming language.
The shimmytok project provides a pure Rust GGUF tokenizer compatible with llama.cpp and ready for WebAssembly.
The Twitter Text Java library tokenizes and parses text according to platform text requirements.
rb-libsvm provides Ruby bindings for the LIBSVM machine learning library.
JEnv for Windows switches the active Java version with a short command.