Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley.
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The Linux Portal Site
Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley.
Read moreKeras has stronger adoption in both the industry and the research community than any other deep learning framework except TensorFlow.
Read morePyTorch provides libraries for basic tensor manipulation on CPUs or GPUs, a built-in neural network library, model training utilities, and more.
Read moreTensorFlow is by far the most popular machine learning library. It’s used by Google, OpenAI, NVIDIA, Intel, SAP, eBay, Airbus, Uber, Airbnb, Snap, Dropbox and startups alike.
Read moreReact Native brings React’s declarative UI framework to iOS and Android.
Read moreCython is an optimising static compiler. This means that it can compile normal Python code without changes (with a few exceptions).
Read moreGoSync is a Google Drive client for Linux written in the Python language. It syncs everything from the drive.
Read moreMinerva is a complete, easy to use, home automation suite. Using Minerva you can make your home easier and cheaper to run and more secure.
Read moreKodi (formerly XBMC) is an award-winning, free and open source digital media hub and HTPC (Home theater PC) software.
Read moreANGRYsearch is a fast file search open source utility written in Python for Linux operating systems, inspired by Everything Search Engine.
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