Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
Kernel density estimators for Julia.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Clojure wrapper for deeplearning4j with some added syntactic sugar.
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
IPython notebooks from Data School's video tutorials on scikit-learn.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Python materials for the online course on diffusion models by @huggingface.
A hands-on course to train and deploy a serverless API that predicts crypto prices.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
An offline recommender system backend based on collaborative filtering written in Go.
Supports teaching, studying or skills practice with AI-guided learning tools.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Deep Neural Networks for Golang (powered by MXNet).
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Generalized linear models in Julia.
Course content and resources for the AIAIART course.