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Multidimensional cluster generation in Julia.
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Multidimensional cluster generation in R.
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Basic functions for clustering data: k-means, dp-means, etc.
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cs-video-courses is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Torch CUDA Neural Network Implementation.
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Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
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Julia module for Distance evaluation.
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Clojure wrapper for Deeplearning4j.
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Ready to use deeplearning docker images.
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A fast Evolution Strategy implementation in Python.
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Free-Courses-For-Everyone is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Large scale Gaussian Mixture Models.
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If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
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Generalized linear models in Julia.
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Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
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Deep Neural Networks for Golang (powered by MXNet).
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An offline recommender system backend based on collaborative filtering written in Go.
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Python materials for the online course on diffusion models by @huggingface.
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Clojure wrapper for deeplearning4j with some added syntactic sugar.
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Run Keras models in the browser, with GPU support provided by WebGL 2.
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Kernel density estimators for Julia.
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A generic approach that allows to mimic most factorization models by feature engineering.
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A minimal, educational, Pythonic implementation of autograd (~100 loc).
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A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.