Training repo for Toy GPT: context-3 model + small structured corpus (001_animals.txt)

Training repo for Toy GPT: Context-3 model + small neutral corpus (000_cat_dog.txt)

Training repo for Toy GPT: unigram + small neutral corpus (000_cat_dog.txt)

Training repo for Toy GPT: unigram model + small structured corpus (001_animals.txt)

Training repo for Toy GPT: context-2 model + small domain corpus (010_llm_glossary.txt)

Training repo for Toy GPT: bigram model + small domain corpus (010_llm_glossary.txt)

Interactive Monte Carlo simulation of the VNAE framework. A visual playground to test how Theta and Beta parameters influence win rates in asymmetric systems.

Training repo for Toy GPT: bigram model + small structured corpus (001_animals.txt)

Training repo for Toy GPT: context-2 model + small structured corpus (001_animals.txt)

Training repo for Toy GPT: Context-3 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.

Training repo for Toy GPT: Context-2 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.

Training repo for Toy GPT: bigram + small neutral corpus (000_cat_dog.txt)

Training repo for Toy GPT: Context-2 model + small neutral corpus (000_cat_dog.txt)

Training repo for Toy GPT: Context-2 model with embeddings + small domain corpus (030_analytics.txt). Much more efficient use of space.

Claim-bounded reduced-surrogate archive for Socio-Traffic Thermodynamics: stop-and-go waves, synchronization risk, and risk-budgeted information release in toy traffic networks. No policy or deployment claim.

🚀 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.

Toy models for ordinal realization, residue, selective crystallization, and regime analysis in relational systems.

Numerical consistency tests for a relational realisation-budget formulation of SR and static Schwarzschild sector.

Training repo for Toy GPT: context-3 model + small domain corpus (010_llm_glossary.txt)