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Generic, lightweight python interface to unify loading and evaluating neural networks trained in machine learning libraries such as Keras, PyTorch, Torch7 and Caffe.
Repository of materials to reproduce results in our article Visual pathways from the perspective of cost functions and multi-task deep neural networks
Simple framework implementing deep reinforcement learning within a tetris environment.
Shape sorting environment for openai's gym based on bulletphysics
MLE 2-parameter-Weibull distribution fit using MLE with numpy or pytorch
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