Here are
28 public repositories
matching this topic...
Training repo for Toy GPT: context-3 model + small structured corpus (001_animals.txt)
Updated
Apr 4, 2026
Python
Interactive Monte Carlo simulation of the VNAE framework. A visual playground to test how Theta and Beta parameters influence win rates in asymmetric systems.
Updated
Feb 4, 2026
MATLAB
Training repo for Toy GPT: bigram model + small domain corpus (010_llm_glossary.txt)
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: context-2 model + small domain corpus (010_llm_glossary.txt)
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: Context-3 model + small neutral corpus (000_cat_dog.txt)
Updated
Apr 8, 2026
Python
Training repo for Toy GPT: unigram + small neutral corpus (000_cat_dog.txt)
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: unigram model + small structured corpus (001_animals.txt)
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: context-2 model + small structured corpus (001_animals.txt)
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: bigram model + small structured corpus (001_animals.txt)
Updated
Apr 8, 2026
Python
Training repo for Toy GPT: Context-3 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
Updated
Apr 14, 2026
Python
Training repo for Toy GPT: Context-2 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
Updated
Apr 14, 2026
Python
Training repo for Toy GPT: Context-2 model with embeddings + small domain corpus (030_analytics.txt). Much more efficient use of space.
Updated
Apr 14, 2026
Python
Training repo for Toy GPT: Context-2 model + small neutral corpus (000_cat_dog.txt)
Updated
Apr 8, 2026
Python
Training repo for Toy GPT: bigram + small neutral corpus (000_cat_dog.txt)
Updated
Apr 8, 2026
Python
Can a cellular neural network learn how to reliably express meaningful patterns? This is a toy model for a gene regulatory network for cell specification.
Updated
Feb 4, 2026
Jupyter Notebook
Toy models for ordinal realization, residue, selective crystallization, and regime analysis in relational systems.
Updated
Apr 4, 2026
Python
🚀 Train a custom unigram model using simple and efficient methods, enabling easy adoption for natural language processing tasks.
Training repo for Toy GPT: context-3 model + small domain corpus (010_llm_glossary.txt)
Updated
Apr 4, 2026
Python
Numerical consistency tests for a relational realisation-budget formulation of SR and static Schwarzschild sector.
Updated
Mar 15, 2026
Python
🚀 Train a 200-bigram language model with ease, enhancing text generation tasks and improving natural language processing capabilities.
Updated
Apr 27, 2026
Python
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