MLX native implementations of state-of-the-art generative image models
-
Updated
Jun 30, 2026 - Python
MLX native implementations of state-of-the-art generative image models
Pattern detection for 37 bullish and 37 bearish candlestick patterns, 9 bullish, 9 bearish and additionally 2 continuation classic chart formations, 6 bullish, 6 bearish fibonacci chart patterns. Additionally, you can test their effectiveness on the data provided.
A hardware-based physical aimbot combining YOLOv5 computer vision, dual-axis PID control, and an ESP32-powered Mecanum-wheel chassis. Bypasses software anti-cheat via physical mouse automation. Engineered for FIBO FRA361.
Exploring FIBO Complexity With Crunchbase: Representing Crunchbase IPOs in FIBO
Evaluate a Fibonacci polynomial.
RDF dataset of ISO10383's MICs (similar to fibo-fbc-fct-mkti) with business centres from ISDA/FpML and historical identifiers.
Main repository for FIBO module 8-9 project
Evaluate Binet's formula extended to real numbers for each element retrieved from an input strided array via a callback function.
Multi-agent TTRPG engine using Two-Path Architecture to solve AI hallucinations. Combines a deterministic Python Rules Engine with LLM-based creative judgment. Verified with 100% Routing and 98% Grounding accuracy. Senior Thesis @ KMUTT FIBO.
Kuber Map for FIBO — a curated, learner-first map of the Financial Industry Business Ontology that doubles as audit-ready grounding for financial AI agents. 5 use cases, grounded eval (+44.5pt), MIT.
Santi's Basic Binet Formula Library: What is F_n?
Add a description, image, and links to the fibo topic page so that developers can more easily learn about it.
To associate your repository with the fibo topic, visit your repo's landing page and select "manage topics."