Production-grade scaffold for reproducible computational research — 10-stage DAG pipelines, ≥90% test coverage, cryptographic provenance (SHA-256 + steganographic PDF watermarking), multi-project workspace, AI-agent-ready with AGENTS.md / SKILL.md throughout.

A privacy-first starter kit for research agents: source-first workflows, material passports, authorial voice integrity, self-review loops, delivery guards, knowledge-base setup, and external review fallback.

Complete AI-assisted scientific research workflow — literature review, interactive citations, article writing, LaTeX export and presentation. Powered by Claude Code inside VS Code.

A complete DevOps framework for reproducible LaTeX research paper workflows with CI/CD, versioning, and standardized project structure.

An AI-assisted market research workflow for indie hackers and solo builders.

Template repository for Smart Mobility Lab research papers and datasets

A powerful and lightweight deep learning project template built on PyTorch Lightning. It accelerates your development by providing a standardized, convention-based framework, allowing you to focus on your core tasks.

Compact deep-learning research starter kit for brain functional network classification experiments.

Governance-ready, AI-aware healthcare research object template built with Quarto. Includes lifecycle structure, governance artefacts, and synthetic demonstration project.

A structured template for data science and research projects that provides a clear separation between exploratory analysis and production pipelines. This template promotes reproducibility, organization, and collaborative development.

Personal paper-centric empirical research project template

Batteries-included AI/ML research template for Claude Code — uv, ruff, pytest, MkDocs, LaTeX, AGENTS.md protocol

Reusable template for medical research papers & ML projects