awslabs / ml-experiments-schemaLinks
A JSON-based schema for storing declarative descriptions of machine learning experiments
β45Updated 8 years ago
Alternatives and similar repositories for ml-experiments-schema
Users that are interested in ml-experiments-schema are comparing it to the libraries listed below
Sorting:
- Flow with FlorDB π»β154Updated this week
- The Data Linter identifies potential issues (lints) in your ML training data.β88Updated 7 years ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML pβ¦β94Updated last year
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.β35Updated 3 years ago
- A high performance data access library for machine learning tasksβ74Updated last year
- Projects developed by Domino's R&D teamβ77Updated 3 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librarβ¦β30Updated 3 years ago
- β162Updated 4 years ago
- β96Updated 5 years ago
- Inspect ML Pipelines in Python in the form of a DAGβ70Updated last year
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimatorsβ53Updated last year
- ML-Powered Developer Tools, using Kubeflowβ55Updated 3 years ago
- Willump Is a Low-Latency Useful Machine learning Platform.β44Updated 2 years ago
- A quick start project for polyaxonβ29Updated last year
- MLOps Python Libraryβ119Updated 3 years ago
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Auβ¦β43Updated 4 years ago
- A Scalable Auto-ML Systemβ53Updated 2 years ago
- Public repository for versioning machine learning dataβ42Updated 3 years ago
- A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)β175Updated 2 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensorsβ162Updated last year
- β40Updated 9 years ago
- Embed categorical variables via neural networks.β59Updated 2 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.β42Updated 2 years ago
- β12Updated 5 years ago
- Dockerfiles for images used as part of the Orbyter toolsetβ44Updated last year
- β39Updated 2 years ago
- A bit of extra usability for sqlalchemy v2.β78Updated last year
- π― kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learningβ32Updated 2 years ago
- β78Updated 4 years ago
- Machine Learning Projects with Flytekitβ37Updated 2 years ago