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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.

Large scale Gaussian Mixture Models.

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

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

Course content and resources for the AIAIART course.

Generalized linear models in Julia.

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.

Deep Neural Networks for Golang (powered by MXNet).

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

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

ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.

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

Python materials for the online course on diffusion models by @huggingface.

IPython notebooks from Data School's video tutorials on scikit-learn.

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

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

A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.

Clojure wrapper for deeplearning4j with some added syntactic sugar.

Run Keras models in the browser, with GPU support provided by WebGL 2.

Kernel density estimators for Julia.

Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.