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end2end compressive snapshot reconstruction methods based on neural network （also a collection of denoising models)

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Part of the source codes for my bachelor graduation thesis in SJTU.

  • Implemented in Pytorch 1.2.0
  • Only support RNN structures, implement a single cell and make up a full rnn
  • implement several optimization algorithms (including a plain connection)
  • Splited to different modules, easy to add new net structures, optimization algorithms
  • enable --poor cofiguration item if your GPU owning limited memory

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end2end compressive snapshot reconstruction methods based on neural network （also a collection of denoising models)

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