Here are
26 public repositories
matching this topic...
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: Context-3 model + 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-3 model + small structured corpus (001_animals.txt)
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: bigram model + small domain corpus (010_llm_glossary.txt)
Updated
Apr 4, 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: Context-2 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
Updated
Apr 4, 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 4, 2026
Python
Training repo for Toy GPT: bigram 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: Context-3 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: bigram + small neutral corpus (000_cat_dog.txt)
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: Context-2 model + small neutral corpus (000_cat_dog.txt)
Updated
Apr 4, 2026
Python
🚀 Train a custom unigram model using simple and efficient methods, enabling easy adoption for natural language processing tasks.
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
Numerical consistency tests for a relational realisation-budget formulation of SR and static Schwarzschild sector.
Updated
Mar 15, 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 domain corpus (010_llm_glossary.txt)
Updated
Apr 4, 2026
Python
Training repo for Toy GPT: context-2 model + small domain corpus (repo tour)
Updated
Apr 4, 2026
Python
🚀 Train and fine-tune GPT models with 400-context support to enhance conversational capabilities and improve AI interactions.
Updated
Apr 4, 2026
Python
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