Golang implementation of the Merkle Mountain Range (MMR) data structure. Designed for efficient, append-only data handling with cryptographic proofs. Supports various hash functions like Argon2, Blake2b, and SHA-256.

Sample Java application that demonstrates how to use Tolling Vision

Sample Node.js / TypeScript application that demonstrates how to use Tolling Vision

Sample Python application that demonstrates how to use Tolling Vision

The Customer Support Ticket Classification and Response System combines advance AI models with RAG to automate and elevate ticket categorisation and response generation. By leveraging multi-model integration, sentiment analysis, urgency detection, and vector-based retrieval, it delivers precise, context-aware responses and actionable insights.

Website server made for keeping track of WCTC eSports players rating/MMR in their respective games. Using API's.

🌱 Construct Merkle Trees and verify proofs in JavaScript.

Efficient matchmaking algorithm for a 5v5 team-based game. Balances teams based on player MMR, preferred roles, and waiting time. Handles large player pools and creates fair, competitive matches.

Minimal keyword extraction with BERT

Examination of whether LLMs can maintain consistency over extended multiple text generation for 10 medical personas. 5 novel plausibility metrics proposed, and an ontology of common LLM errors.

🏆 Multiplayer elo rating

Classical Machine-Learning Approach to the identification of mean-motion resonances

Dynamic Ensemble Diversification

Tools to access streams in PDF-files at the object level.

Extractive Multi-document Summarization

Skill rating algorithms for Python

A Simple Checklist for Different Sanities in the OoTMM Combo Randomizer

LLMs use cases and studies

Skill rating algorithms for Python