A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
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Fast and Accurate ML in 3 Lines of Code
Math.NET Numerics
- math
- numerics
- linear-algebra
- fsharp
moDel Agnostic Language for Exploration and eXplanation
- machine-learning
- interpretability
- data-science
- xai
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
[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.
- r
- strings
- string-interpolation
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
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.
- apache-pdfbox
- charts
- data-visualization
- fonts
⬛ Python Individual Conditional Expectation Plot Toolbox
- machine-learning
- interpretability
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
- probabilistic-programming
- neural-network
- tensorflow
- keras-tensorflow
pocketbase boilerplate
Free sample: 42-table synthetic business dataset with double-entry accounting. AdventureWorks alternative. CSV + SQL + Parquet + SQLite. AU tax compliance (ATO/GST).
- accounting
- australia
- business-data
- csv
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.