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Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.

Torch CUDA Neural Network Implementation.

Supports teaching, studying or skills practice with AI-guided learning tools.

Search cardiology, angiology data collections and supporting datasets from USA.

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.

Dataframes for machine-learning and statistics (similar to pandas).

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.

Supports teaching, studying or skills practice with AI-guided learning tools.

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

Julia module for Distance evaluation.

Clojure wrapper for Deeplearning4j.

Ready to use deeplearning docker images.

Easy-to-use Federated Learning Platform.

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.

A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries.

Supports teaching, studying or skills practice with AI-guided learning tools.

News, community, and courses for people building AI-powered products.

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.