bvobart / mllint
`mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.
β77Updated 2 years ago
Alternatives and similar repositories for mllint:
Users that are interested in mllint are comparing it to the libraries listed below
- π Log and track ML metrics, parameters, models with Git and/or DVCβ169Updated last week
- Check if you have training samples in your test setβ64Updated 2 years ago
- Decorators that logs stats.β108Updated last year
- Coarse-grained lineage and tracing for machine learning pipelines.β467Updated 2 years ago
- A collection of machine learning model cards and datasheets.β72Updated 7 months ago
- π·οΈ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.β144Updated 2 weeks ago
- Functional deep learningβ108Updated 2 years ago
- Distributed skorch on Ray Trainβ57Updated 2 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to productionβ¦β29Updated last year
- A proof of concept library for generating and running machine learning model testsβ13Updated 4 years ago
- DagsHub client librariesβ93Updated this week
- β30Updated 3 years ago
- Convert pyproject.toml to environment.yamlβ129Updated last year
- spock is a framework that helps manage complex parameter configurations during research and development of Python applicationsβ128Updated last year
- Management Dashboard for Torchserveβ121Updated 2 years ago
- The Data Linter identifies potential issues (lints) in your ML training data.β87Updated 7 years ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.β30Updated 3 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)β157Updated last year
- Data and tooling to compare the API surfaces of various array libraries.β54Updated 2 weeks ago
- yogadl, the flexible data layerβ74Updated last year
- Bag of, not words, but tricks!β68Updated last year
- β102Updated 4 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stanβ¦β53Updated last year
- πA curated list of links and resources for Fair ML and Data Ethicsβ18Updated 2 years ago
- Automate issue discovery for your projects against Lightning nightly and releases.β45Updated last week
- Train multi-task image, text, or ensemble (image + text) modelsβ45Updated last year
- A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminateβ45Updated 4 years ago
- Inspect ML Pipelines in Python in the form of a DAGβ70Updated 11 months ago
- An open-source AutoML Library based on PyTorchβ306Updated last month
- Python ML pipeline that showcases mltrace functionality.β28Updated 3 years ago