What it is, and how people use it
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch. It sits on the Dev Agents & Programs shelf of the catalog, maintained by @KevinMusgrave.
✓Drop-in for Claude Code, Codex CLI and Cursor - install and it just runs.
✓Read the SKILL.md / README first; most setups are one command from the docs.
✓Teams use it to standardise how agents behave across every repo in the org.
computer-visioncontrastive-learningdeep-learningdeep-metric-learningembeddings
kevinmusgrave.github.io/pytorch-metric-learning/Why builders keep it installedDev Agents & Programs benefits
Day-one leverage
These CLIs and dashboards solve one job well and install with a single command. Value shows up in the first hour, not after a config weekend.
Composes with your agent
Most of them ship an MCP server, skill or hooks - so the same tool you use manually becomes an action your agent can call safely.
Built under real workloads
Star counts here track repos people actually run daily: the issue history shows bug classes fixed under production pressure, not demo-week polish.
Free and open source
Every tool on this page ships under an open license and can be self-hosted. Your usage data and your configs stay yours.
Contributorsloading from GitHub…
Languagesestimated from snapshot
- Python 87.6%
- Shell 12.4%
Community pulsesnapshot ratios, normalized
starsforksissues ×3watchers