The Microsoft Cognitive Toolkit is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph.
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Tag: Python
Chainer – framework for neural networks
Chainer is a Python-based deep learning framework aiming at flexibility.
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Theano – numerical computation library for Python
Theano is a numerical Python library that allows you to define, optimize, and evaluate mathematical expressions.
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MXNet – scalable deep learning framework
Apache MXNet is a modern deep learning framework used to train, and deploy deep neural networks.
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Caffe – deep learning framework by BAIR
Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley.
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Keras – high-level neural networks API, written in Python
Keras has stronger adoption in both the industry and the research community than any other deep learning framework except TensorFlow.
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PyTorch – deep learning framework for fast, flexible experimentation
PyTorch provides libraries for basic tensor manipulation on CPUs or GPUs, a built-in neural network library, model training utilities, and more.
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TensorFlow – open source machine learning framework
TensorFlow 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.
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React Native – open source mobile application framework
React Native brings React’s declarative UI framework to iOS and Android.
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Cython – Optimising Static Compiler for Python
Cython is an optimising static compiler. This means that it can compile normal Python code without changes (with a few exceptions).
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