1247 Open source projects that are alternatives of or similar to Deep Kernel Gp

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All DeepLearning4j projects go here.

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Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Season 2 of @twosigma's artificial intelligence programming challenge

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A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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Data-centric declarative deep learning framework

Gorgonia is a library that helps facilitate machine learning in Go.

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This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

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Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

A curated list of awesome Distributed Deep Learning resources.

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Deep Learning Projects that Build Themselves

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由淺入深的深度學習資源 Collection of deep learning materials for everyone

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

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Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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