A guide to building long-term compounding knowledge infrastructure. See details on GitHub .

Google Research

Google Research aggregates open-source research code and datasets from Google, covering machine learning, vision, NLP and other research areas.

Overview

Google Research aggregates thousands of open-source projects, datasets and implementations across machine learning, natural language processing, computer vision and reinforcement learning, enabling reproducibility and further research.

Key Features

  • Large collection of research code and experimental implementations for paper reproduction.
  • Support for multiple frameworks (TensorFlow, JAX, PyTorch) and practical examples.
  • Includes datasets, evaluation scripts and benchmarking tools for reproducible experiments.

Use Cases

  • Researchers reproducing and building on published results.
  • Engineering teams adopting advanced algorithms for production.
  • Learners practicing ML workflows with real-world code and datasets.

Technical Details

  • Organized into many modular subdirectories for easy discovery and shallow cloning.
  • Source code is licensed under Apache-2.0; datasets may be CC BY 4.0.
  • Recommended shallow clone or single-directory download to reduce fetch cost for large repos.

Comments

Google Research
Resource Info
Author Google
Added Date 2025-10-03
Open Source Since 2013-12-31
Tags
Open Source Research ML Platform