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awslabs / sockeye

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Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

machine-learning deep-neural-networks translation deep-learning mxnet machine-translation transformer seq2seq neural-machine-translation sequence-to-sequence gluon attention-mechanism encoder-decoder attention-model sequence-to-sequence-models attention-alignment-visualization attention-is-all-you-need sockeye transformer-architecture transformer-network
  • Updated Nov 5, 2021
  • Python

amanchadha / coursera-deep-learning-specialization

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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization
  • Updated Nov 2, 2021
  • Jupyter Notebook

hoangcuong2011 / Good-Papers

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I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

machine-learning natural-language-processing computer-vision deep-learning neural-network semi-supervised-learning convolutional-networks neural-machine-translation representation-learning gaussian-processes variational-inference kernel-learning variational-autoencoders deep-kernel-learning
  • Updated Jun 5, 2019

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