💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

can collaborate with adaptive AI engine

Academics. Credibility

The second mission after intergration.

Main page of organization

For students onboarding / walkthrough exercises.

The solution for running AIC through other devices/OS.

Windows drivers for AICSemi AIC8800-based USB/PCIe WiFi 6 adapters

MUSA 5000 Assignment 3

Testing simulation in AIC on Jupyter Notebook/Colab.

This project implements a deep learning models to classify ECG heartbeats from the MIT-BIH Arrhythmia Database into different arrhythmia categories.

ETL-opcode is an open-source initiative to help students get hands-on with data engineering. Learn how data flows from raw sources to clean insights through practical ETL tasks and real-world examples.

A guide for contributor

Imagine the market as a city full of cursed spirits: sudden price spikes, rumor chains, biased headlines, and noisy signals. Jujutsu-Quants is your dojo. Each agent is a sorcerer with a specialty — one senses anomalies, another reads the news, another questions the sources, another checks bias, and so on.

Intro to model selection in R lecture

ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

QBI-Observer Lite+ is an open-source cognitive self-observation module derived from QBI-Core. It detects mental loops, internal questions, and metacognitive patterns. Not AGI. Not autonomous. It’s a transparent, ethical entry point into a new class of AI: Artificial Integrated Cognition (AIC).

GMM vs KMeans Wine Clustering with Auto Selection, PCA, t-SNE, and Evaluation