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Neural networks in JavaScript - continued community fork of Brain.
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Distributed decision tree ensemble learning in Scala.
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Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
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Implementation of Random Forest in Common Lisp.
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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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Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
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FANN (Fast Artificial Neural Network) binding.
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Torch CUDA Neural Network Implementation.
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Supports teaching, studying or skills practice with AI-guided learning tools.
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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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Easy-to-use Federated Learning Platform.
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A fast Evolution Strategy implementation in Python.
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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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Supports teaching, studying or skills practice with AI-guided learning tools.
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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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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.