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This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
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Friendly Federated Learning Framework.
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Library for high performance deep learning inference on NVIDIA GPUs.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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An open source Python library for drift detection in machine learning systems.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Unsupervised machine learning with multivariate Gaussian mixture model.
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Large scale Gaussian Mixture Models.
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If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
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A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Course content and resources for the AIAIART course.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Generalized linear models in Julia.
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Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
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Deep Neural Networks for Golang (powered by MXNet).
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Fast and convenient feature processing for low latency machine learning in Go.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Benchmarks of machine learning inference for Go.
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An open source Go transpiler for machine learning models.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.