BKHMSI/mixture-of-cognitive-reasoners
Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization
This project helps researchers and AI practitioners create and study language models that mimic how the human brain specializes in different cognitive functions. It takes a pre-trained language model and partitions its layers into specialized 'experts' for language, logic, social, and world knowledge. The output is a more interpretable and controllable language model, useful for those interested in cognitive science, AI alignment, or developing more human-like AI.
Use this if you are a researcher or advanced AI practitioner seeking to develop, understand, and control large language models with human-like cognitive specialization.
Not ideal if you are looking for an out-of-the-box solution for general text generation or a tool for routine business applications without deep technical customization.
Stars
40
Forks
3
Language
Python
License
—
Category
Last pushed
Feb 07, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BKHMSI/mixture-of-cognitive-reasoners"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AdaptiveMotorControlLab/CEBRA
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
theolepage/sslsv
Toolkit for training and evaluating Self-Supervised Learning (SSL) frameworks for Speaker...
PaddlePaddle/PASSL
PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision...
YGZWQZD/LAMDA-SSL
30 Semi-Supervised Learning Algorithms
ModSSC/ModSSC
ModSSC: A Modular Framework for Semi Supervised Classification