Mr-Skeleton-Max/MathBrain
Research on Bionic and Efficient Neural Network Architectures
This project offers a new way to build sequence models for tasks like text prediction or language generation. It takes a sequence of input tokens and efficiently tracks when each token appeared without storing complex meanings. The result is a highly efficient model that can process very long texts with constant memory, making it ideal for researchers and developers building the next generation of language AI.
Use this if you are a machine learning researcher or engineer building advanced language models and need to process very long sequences of text efficiently with reduced memory footprint and faster training.
Not ideal if you are a practitioner looking for a ready-to-use application or a high-level library without delving into model architecture and training scripts.
Stars
8
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
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