article-information-2019
ML framework
A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications.
Article for Special Edition of Information: Machine Learning with Python
13 stars
47 watching
3 forks
Language: Jupyter Notebook
last commit: over 6 years agoLinked from 1 awesome list
data-scienceexplainable-aiexplainable-mlfairness-aifairness-mlfairness-testingfatmlimlinterpretable-aiinterpretable-machine-learninginterpretable-mlmachine-learningmachine-learning-interpretabilitypythonxai
Related projects:
| Repository | Description | Stars |
|---|---|---|
| h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 483 |
| h2oai/h2o-3 | An in-memory machine learning platform that supports various algorithms and provides tools for building, deploying, and scaling machine learning models | 6,950 |
 a3data/hermione | A framework for simplifying machine learning development and deployment | 207 |
| h2oai/h2o-tutorials | Provides tutorials and training materials for machine learning with H2O, a platform for building predictive models. | 1,484 |
 modeloriented/drwhy | A collection of tools and guidelines for building responsible machine learning models | 682 |
 jphall663/interpretable_machine_learning_with_python | Teaching software developers how to build transparent and explainable machine learning models using Python | 673 |
 sethjuarez/numl | Provides a set of reusable C# components for building machine learning models in .NET | 431 |
 tensorflow/tensorflow | An end-to-end platform for building and deploying machine learning applications | 186,822 |
 somnibyte/mlkit | A framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects. | 152 |
 microsoft/0xdeca10b | A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 559 |
 gianlucabertani/machinelearning | A machine learning framework for native code on Macs with support for neural networks and natural language processing. | 37 |
 unslothai/hyperlearn | An optimized machine learning framework for improved performance and reduced memory usage on various hardware configurations. | 1,871 |
 mlr-org/mlr | Provides an infrastructure for machine learning in R, enabling users to focus on experiments without writing lengthy wrappers and boilerplate code. | 1,648 |
| h2oai/h2o-llm-eval | An evaluation framework for large language models with Elo rating system and A/B testing capabilities | 50 |
 cdipaolo/goml | A Go library that provides an online machine learning framework with various algorithms and models | 1,574 |