NeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models.
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Tag: machine learning
Microsoft Cognitive Toolkit (CNTK) – toolkit for distributed deep learning
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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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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17 Top Free and Open Source Python Natural Language Processing Tools
Natural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics.
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