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ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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An offline recommender system backend based on collaborative filtering written in Go.
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Supports teaching, studying or skills practice with AI-guided learning tools.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Deep Neural Networks for Golang (powered by MXNet).
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Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
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Generalized linear models in Julia.
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Course content and resources for the AIAIART course.
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Supports teaching, studying or skills practice with AI-guided learning tools.
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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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Large scale Gaussian Mixture Models.
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A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries.
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High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
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A fast Evolution Strategy implementation in Python.
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Easy-to-use Federated Learning Platform.
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Ready to use deeplearning docker images.
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Clojure wrapper for Deeplearning4j.
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Julia module for Distance evaluation.
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Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
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Decision Tree Classifier and Regressor.
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Dataframes for machine-learning and statistics (similar to pandas).
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Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.