Amortized Bayesian Optimization
A collection of research code and datasets released by Google Research under open licenses.
What is Amortized Bayesian Optimization?
Google Research is an open repository containing research code and datasets published by Google's research division. It provides implementations of algorithms, models, and experiments from Google Research publications, along with curated datasets for the research community. The project enables researchers to access, reproduce, and build upon Google's published work.
Academic researchers, machine learning practitioners, data scientists, and developers interested in exploring or reproducing Google's research publications. It's particularly valuable for those working in AI, machine learning, and related fields who want to experiment with Google's research implementations.
Provides direct access to Google's research code and datasets with permissive licenses, enabling transparency and reproducibility in research. Unlike proprietary research code, this repository allows the community to examine implementations, verify results, and adapt code for their own projects.
Overview
Google Research
Use Cases
Best For
- Reproducing experiments from Google Research publications
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