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Minimum viable example on compiling MATLAB API for C++ using CMake.

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https://github.com/agahkarakuzu/introml-book • Science 10%

A Jupyter Book rendering of Nilearn for machine learning tutorials

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https://github.com/agamiko/xai_resources • Science 23%

Interesting resources related to XAI (Explainable Artificial Intelligence)

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https://github.com/agamiko/pytorch-lrp • Science 10%

Basic LRP implementation in PyTorch

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Curated list of awesome GAN applications and demo

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https://github.com/agarbuno/awesome-time-series • Science 23%

list of papers, code, and other resources

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https://github.com/agarbuno/awesome-diffusion-models • Science 23%

A collection of resources and papers on Diffusion Models

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A curated list of awesome machine learning interpretability resources.

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https://github.com/agarbuno/xgboost • Science 10%

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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https://github.com/agathesenellart/deepgcca-pytorch • Science 10%

An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.

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https://github.com/agda/agda-stdlib-classes • Science 26%

Extension of Agda's standard library to accommodate a more typeclass-friendly interface.

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https://github.com/agda/agda-stdlib-meta • Science 26%

Meta-programming utilities for Agda.

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https://github.com/agda/hs-tags • Science 26%

Generate ctags and etags for Haskell files

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https://github.com/agdamsbo/quarto_titlepages_au • Science 10%

A Quarto extension for making title and cover pages for PDF output.

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https://github.com/agdamsbo/laties.support • Science 13%

Support functions for the LATIES project

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https://github.com/agnesdeng/vismi • Science 26%

Visualisation Tools for Multiple Imputation