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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Large scale Gaussian Mixture Models.
github.com
A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Course content and resources for the AIAIART course.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Generalized linear models in Julia.
github.com
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
github.com
go-dnn is a GitHub repository that provides deep neural network functionality for the Golang programming language, powered by MXNet. The repository notes an updated version of the project is hosted at a separate GitHub location.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
gobrain is an open-source GitHub repository maintained by the goml organization. It implements neural networks in the Go programming language. The repository includes documentation for getting started, recurrent neural network features, a changelog of updates, and project background information.
github.com
An offline recommender system backend based on collaborative filtering written in Go.
github.com
A hands-on course to train and deploy a serverless API that predicts crypto prices.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Hypernets is a general AutoML framework for building automatic optimization tools for machine learning frameworks and libraries, including tensorflow, keras, pytorch, sklearn, lightgbm and xgboost. It offers an abstract search space representation covering hyperparameter optimization and neural architecture search, with optimization algorithms such as evolution algorithm and Monte Carlo tree search.
github.com
Internet-in-a-Box (IIAB) is an open-source, community-driven project that enables users to build an affordable, offline digital library server, most commonly using a Raspberry Pi. It creates a local learning hotspot that provides access to free educational content including Wikipedia in multiple languages, thousands of Khan Academy videos, zoomable OpenStreetMap, e-books and other resources without an internet connection. It includes tools to arrange content packs, offers 30+ educational apps, supports mesh networking for local knowledge exchange, and is intended for schools, clinics, libraries, prisons and community use.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.