A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
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A game theoretic approach to explain the output of any machine learning model.
Fast and Accurate ML in 3 Lines of Code
mal - Make a Lisp
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Statistical Machine Intelligence & Learning Engine
A curated list of awesome responsible machine learning resources.
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Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
StellarGraph - Machine Learning on Graphs
Machine Learning in R
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An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
Glue strings to data in R. Small, fast, dependency free interpreted string literals.
optimization routines for hyperparameter tuning
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
Excerpt from the Gapminder data, as an R data package and in plain text delimited form
JQuick-Pdf is an enterprise-grade Java PDF generation framework. It provides HTML-like declarative syntax and supports more than 30 kinds of graphs, greatly simplifying complex PDF report creation while retaining full native pdfbox(since version 4.0.0) APIs.
⬛ Python Individual Conditional Expectation Plot Toolbox