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ncnn is a high-performance neural network inference framework optimized for the mobile platform
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Probabilistic time series modeling in Python
An Engine-Agnostic Deep Learning Framework in Java