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Introducing Distributed LightGBM Training with Ray | Anyscale
| | automl.github.io
auto-sklearn - AutoSklearn 0.15.0 documentation
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| | github.com
GitHub - ankane/lightgbm-ruby: High performance gradient boosting for Ruby
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| | High performance gradient boosting for Ruby. Contribute to ankane/lightgbm-ruby development by creating an account on GitHub.
| | anyscale-staging.herokuapp.com
Anyscale Named a Cool Vendor by Gartner
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| | See why Anyscale was recognized in the 2024 Gartner® Cool Vendors? in AI Engineering.
| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
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| I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.