No. 27 of 40 ·ML Experiment Tracking Software

MLXP

No platforms listed

Freedom report

One barScore 5.2

MLXP is ranked #27 of 40 in ML experiment tracking software on Freedom251.

Compared on ML experiment tracking software

Purpose: MLXP is an open-source Python framework for managing experiments from launching and logging through querying results.
Job launching: It can launch several jobs automatically using Hydra and hierarchical configs, with a decorator on the main task function.
Experiment records: It logs metrics, artifacts, checkpoints, metadata, and configuration options in a uniquely assigned job directory.
Code versioning: It automatically generates a deployment version of the code based on the latest Git commit.
Cluster jobs: It can submit jobs to a cluster using a job scheduler.
Results: It supports reading, querying, grouping, and aggregating outputs from multiple jobs.
Installation: The README says MLXP can be installed in a virtualenv or Conda environment with pip using `pip install MLXP`.
Dependencies: The listed requirements include Hydra Core, OmegaConf, TinyDB, PyYAML, pandas, dill, and GitPython.
License: The repository says MLXP is distributed under the MIT license.
Documentation: The repository links to a quick start guide, a tutorial, and detailed documentation on the project website.

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.