awslabs / ml-experiments-schemaLinks
A JSON-based schema for storing declarative descriptions of machine learning experiments
☆45Updated 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:
- FlorDB 🌻☆155Updated 3 weeks ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- The Data Linter identifies potential issues (lints) in your ML training data.☆89Updated 7 years ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Spark implementation of computing Shapley Values using monte-carlo approximation☆76Updated 2 years ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆171Updated 2 years ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆94Updated last year
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated 2 years ago
- ☆96Updated 5 years ago
- ☆40Updated 9 years ago
- Python application to setup and run streaming (contextual) bandit experiments.☆83Updated 2 months ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆45Updated 2 years ago
- Inspect ML Pipelines in Python in the form of a DAG☆70Updated last year
- ☆162Updated 4 years ago
- Public repository for versioning machine learning data☆42Updated 3 years ago
- ☆59Updated 3 years ago
- MLOps Python Library☆120Updated 3 years ago
- ☆103Updated 2 years ago
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆43Updated 4 years ago
- Primrose modeling framework for simple production models☆32Updated last year
- A multi-armed bandit library for Python☆82Updated 5 years ago
- ML-Powered Developer Tools, using Kubeflow☆54Updated 3 years ago
- Dockerfiles for images used as part of the Orbyter toolset☆44Updated last year
- A Machine Learning System for Data Enrichment.☆75Updated 7 years ago
- Interpretable ML package designed to explain any machine learning model.☆61Updated 7 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 3 months ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- python library for automated dataset normalization☆116Updated 2 years ago
- ☆39Updated 2 years ago