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Directory
AI Education & Learning
Explore AI Education & Learning resources in AI & Machine Learning.
Supports teaching, studying or skills practice with AI-guided learning tools.
Course content and resources for the AIAIART course.
Free access to the Pro tier of the industry-standard AI pair programmer while you are a student.
Generalized linear models in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Deep Neural Networks for Golang (powered by MXNet).
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Google Cloud Skills Boost - Introduction to Generative AI provides AI-assisted learning, courses, tutorials, or study support.
An offline recommender system backend based on collaborative filtering written in Go.
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.
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.
A hands-on course to train and deploy a serverless API that predicts crypto prices.
Heights Platform provides AI-assisted learning, courses, tutorials, or study support.
Is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.
Simple and friendly way of teaching your non-data scientist/non-statistician colleagues. From Geckoboard's Data Literacy Lessons.
Python materials for the online course on diffusion models by @huggingface.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Python module to perform under sampling and oversampling with various techniques.