reproducible-research

A Collection of Variational Autoencoders (VAE) in PyTorch.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

AIPOCH Open-Science is an open-source, local-first, model-agnostic AI research workbench for macOS, Windows, and Linux, with scientific agents, Python/R notebooks, data connectors, and reproducible provenance.

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

A DSL for data-driven computational pipelines

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Sionna: An Open-Source Library for Research on Communication Systems

Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.

A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

An R-focused pipeline toolkit for reproducibility and high-performance computing

Presentation-Ready Data Summary and Analytic Result Tables

High-fidelity performance metrics for generative models in PyTorch

Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.

PyCIL: A Python Toolbox for Class-Incremental Learning

Function-oriented Make-like declarative workflows for R

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

Scientific reports/literate programming for Julia

A research tool for the Iterated Prisoner's Dilemma

GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.

rrtools: Tools for Writing Reproducible Research in R

papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.

A workflow for reproducible and open scientific articles

An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing

A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.