Ave-Sergeev/Tictonix
Crate for `Embedings` and `Positional Encoding` (Rust) (Q2:2025)
This is a low-level programming tool for developers creating custom deep learning models, particularly those working with natural language. It helps engineers represent words and their positions in numerical form, crucial for algorithms to understand text. Input is text data that needs to be prepared for deep learning, and output is the numerical representation of that text. This tool is for Rust developers building AI applications.
No commits in the last 6 months.
Use this if you are a Rust developer building a custom Natural Language Processing (NLP) model or a Large Language Model (LLM) from scratch and need precise control over embeddings and positional encodings.
Not ideal if you are an end-user looking for a ready-to-use application, or if you are not a Rust developer familiar with deep learning model development.
Stars
7
Forks
—
Language
Rust
License
MIT
Category
Last pushed
May 21, 2025
Monthly downloads
7
Commits (30d)
0
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