Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。
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Updated
Jun 19, 2026 - Python
Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。
This is the repo for a python package that does model comparison between different regression models.
A Python package that performs stepwise forward and backward feature selection
Sharif-AI-Challenge2021 Client
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.
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).
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.
AIC video pipeline: batch processing, ASR, summaries and evidence review
This is the repo for a python package that computes penalty score for a given regression model.
Regularization-independent information criteria (RIAIC and RIBAIC) for uncorrelated fits on correlated data
To associate your repository with the aic topic, visit your repo's landing page and select "manage topics."