JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
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A hands-on course to train and deploy a serverless API that predicts crypto prices.
ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
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Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Neural networks in JavaScript - continued community fork of Brain.
Scripts to generate a dataset with static frames from the Arcade Learning Environment.
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Minimalist neural network library optimized for sparse data and single machine environments.
A data and concept drift library for PyTorch.
Scripts to load several popular datasets including:.
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A JavaScript library aimed at visualizing graphs of thousands of nodes and edges.
A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.