LMQL provides a programming language for interactions with large language models.
shimmytok
vsMixed Models
shimmytok vs Mixed Models
How do shimmytok and Mixed Models compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | shimmytok | Mixed Models |
|---|---|---|
| What it is | The shimmytok project provides a pure Rust GGUF tokenizer compatible with llama.cpp and ready for WebAssembly. | MixedModels.jl fits statistical mixed effects models using the Julia programming language. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Free | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both shimmytok and Mixed Models.
ML.NET provides an open source, cross platform machine learning framework for .NET applications.
Open source
24 alternatives
Explore GitHub Awesome lists through AwesomeExplorer, a web app for finding repositories and resources.
Open source
24 alternatives
The Twitter Text Java library tokenizes and parses text according to platform text requirements.
Open source
24 alternativesRetext processes natural language through a plugin based toolkit in the unified JavaScript ecosystem.
Open source
24 alternatives
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library.
Open source
24 alternatives