PyTensor is a Python library that allows one to define, optimize/rewrite, and evaluate mathematical expressions
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PyTensor is a Python library that allows one to define, optimize/rewrite, and evaluate mathematical expressions
Read moreNatural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
Read moreNeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models.
Read moreThe Microsoft Cognitive Toolkit is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph.
Read moreChainer is a Python-based deep learning framework aiming at flexibility.
Read moreTheano is a numerical Python library that allows you to define, optimize, and evaluate mathematical expressions.
Read moreApache MXNet is a modern deep learning framework used to train, and deploy deep neural networks.
Read moreCaffe (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.
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