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Torch CUDA Neural Network Implementation.

University of Virginia School of Data Science advances data science and AI through interdisciplinary research, education, and collaboration.

Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.

Platform democratizing access to data and enabling enterprises to build their own path to AI.

DataRobot delivers the industry- AI applications and platform that maximize impact and minimize risk for your business.

Decision Tree Classifier and Regressor.

Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.

DeepLearning.ai provides AI-assisted learning, courses, tutorials, or study support.

Julia module for Distance evaluation.

Clojure wrapper for Deeplearning4j.

Ready to use deeplearning docker images.

A fast Evolution Strategy implementation in Python.

High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.

Federated Learning - The Production AI Platform for Federated Learning at Scale.

Large scale Gaussian Mixture Models.

A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.

If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.

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).

An offline recommender system backend based on collaborative filtering written in Go.

A hands-on course to train and deploy a serverless API that predicts crypto prices.