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NeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models.

Chainer is a Python-based deep learning framework aiming at flexibility.

Theano is a numerical Python library that allows you to define, optimize, and evaluate mathematical expressions.

Apache MXNet is a modern deep learning framework used to train, and deploy deep neural networks.

Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley.

Keras has stronger adoption in both the industry and the research community than any other deep learning framework except TensorFlow.

PyTorch provides libraries for basic tensor manipulation on CPUs or GPUs, a built-in neural network library, model training utilities, and more.