kyegomez/LFM
An open source implementation of LFMs from Liquid AI: Liquid Foundation Models
This project offers an experimental, open-source version of Liquid Foundation Models, which are advanced neural networks designed for adaptive processing. It takes in structured data, such as sequences of numerical embeddings representing text or other complex information, and produces processed sequences that can be used for further analysis or predictions. Researchers and machine learning practitioners exploring novel neural architectures for complex data tasks would use this.
207 stars.
Use this if you are a researcher or advanced practitioner experimenting with cutting-edge neural network architectures for sequence processing.
Not ideal if you need a production-ready, fully trained language model or a tool for general data analysis without deep machine learning expertise.
Stars
207
Forks
36
Language
Python
License
MIT
Category
Last pushed
Feb 09, 2026
Commits (30d)
0
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