Tools & Software

Advances and fundamentals in ML

We are keeping an eye open for interesting developments in as many areas of machine learning as possible and hope to identify developments with great potential.

Blog

Trustworthy and interpretable ML

Automating decisions based on data is a multi-faceted problem. We deal with everything from anomaly detection to model calibration.

Blog

Security and reliability in ML systems

Production systems must include testing to ensure that operating and training conditions are consistent.

Blog

Efficient machine learning

Modern AI suffers from ever-increasing costs of time, infrastructure, and energy. We are interested in efficient methods that require less data and computation.

Blog

TransferLab Blog

We publish introductory articles for beginners and summaries for experienced professionals who are on a tight schedule.

Software

We test and evaluate new methods and provide robust, well-documented and tested implementations that go beyond what is typically found in academic papers.

Paper Pills

Paper Pills are aimed at practitioners or researchers who want to gain insight into the latest developments but are short on time. We publish monthly summaries and occasional highlights from important conferences.

Software

lakeFS-spec Library

Erfahre mehr über unsere Open-Source-Library lakeFS-spec! Das Python-Package vereinfacht den Dateizugriff und die Versionierung in einem lakeFS Data-Lake und macht sie so leicht wie die Arbeit im lokalen Dateisystem.

Learn

Resources

Participate

Learn

Resources

Participate

Tools & Software

Advances and fundamentals in ML

Trustworthy and interpretable ML

Security and reliability in ML systems

Efficient machine learning

TransferLab Blog

Software

Paper Pills

lakeFS-spec Library