Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
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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.
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.
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.
An offline recommender system backend based on collaborative filtering written in Go.
Deep Neural Networks for Golang (powered by MXNet).
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Generalized linear models in Julia.
Supports teaching, studying or skills practice with AI-guided learning tools.
If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
Large scale Gaussian Mixture Models.
A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries.
A fast Evolution Strategy implementation in Python.
Easy-to-use Federated Learning Platform.
Ready to use deeplearning docker images.
Julia module for Distance evaluation.