Generative AI Takes Stereotypes and Bias From Bad to Worse provides machine-learning models, research, training resources, or evaluation tools.
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Generative AI: A Creative New World Sequoia Capital US/Europe provides machine-learning models, research, training resources, or evaluation tools.
A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Course content and resources for the AIAIART course.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Free access to the Pro tier of the industry-standard AI pair programmer while you are a student.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Generalized linear models in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Deep Neural Networks for Golang (powered by MXNet).
Fast and convenient feature processing for low latency machine learning in Go.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Benchmarks of machine learning inference for Go.
An open source Go transpiler for machine learning models.
Godmode provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine learning library written in pure Go.
A research project exploring the role of machine learning in the process of creating art and music.
A high-level machine learning library in the vein of Keras.
An offline recommender system backend based on collaborative filtering written in Go.