research-template

GitHub template for reproducible research repos — two-layer Python 3.10+/uv monorepo splitting generic infrastructure from per-project code, with pytest coverage gates (60% infra, 90% projects), a 17-stage build pipeline, markdown-to-PDF rendering via pandoc/LaTeX, and 24 canonical exemplars.

ReadR is an Obsidian vault template that organizes academic papers through a four-layer architecture: sources → library → annotations → reviews. Built for Obsidian, inspired by Karpathy's llm-wiki.

Local-first research-agent workflows for defensible formal research outputs, with source-first gates, bounded routing, skill receipts, and delivery guards.

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.

Testbed for the five coordination mechanisms in the AutoScientists paper on self-organizing agent teams: shared experiment log, dead-end registry (36 redundant re-probes to 0), effect-size ranking, noise-band confirmation, stagnation reorganization. Python, uv, no mocks.

An AI-friendly research project template for reproducible, multi-dataset experiments and agent-assisted research workflows.

面向量化社会科学、计算社会科学与 AI for Social Science 的可复现研究项目模板

Evidence-graph starter repo for autonomous AI research

Template for composing multi-track active inference manuscripts — closed-form analytics, pymdp simulations, Lean 4 proofs, GNN/ontology notation — bound to shared sections by a typed sheaf engine with six machine-checked composition laws and a symbol gluing certificate.

Scaffold for publishing a dataset with a machine-readable data contract: JSON descriptors drive schema fingerprints, field-level constraint checks, SHA-256 file verification and quality gates, emitting data-dictionary and provenance-flow figures plus a FAIR release manifest with durable Zenodo identifiers.

Reusable research project template for data analysis, figures, and manuscript drafting

Scaffold for literature review and evidence synthesis — searches arXiv, Crossref, and local corpora, deduplicates hits, enriches abstracts and fulltext, then runs local Ollama (gemma3:4b) per-paper and corpus-level synthesis into references.bib, reading_report.md, corpus.json, and coverage plots. Deterministic caching, pinned seeds.

Scaffold for methods and protocol papers where the contribution is the procedure language itself: frozen-dataclass Python model compiles method plans to JSON, CSV worklists and Mermaid DAGs through four validation gates, with unit/dimensional safety, Kahn-order determinism and SHA-256 provenance hash chains.

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.

Template repository for Smart Mobility Lab research papers and datasets

A starter template for Python-based research projects with a consistent folder layout, linting/type-checking config, editor settings, and a LaTex template for writing up results.

A single-command replication skeleton for an empirical paper — regenerate every table and figure from one master script.

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