Raw emg vae - #28
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…iningModule class - option to turn visualization on/off in the config file
- implemented training of the io_vae with a set number of steps per network (vae and discriminator network)
- added loader for raw-EMG - created the config for raw-EMG vae using cnn Still to solve: - while training (sometimes), the covariance matrix used to generate the posterior distribution becomes non-positive definite
- added loader for raw-EMG - created the config for raw-EMG vae using cnn Still to solve: - while training (sometimes), the covariance matrix used to generate the posterior distribution becomes non-positive definite
- added loader for raw-EMG - created the config for raw-EMG vae using cnn Still to solve: - while training (sometimes), the covariance matrix used to generate the posterior distribution becomes non-positive definite
TODO: - implement for all types of network
- Implemented printing a summary of encoder and decoder when the model is created
- Corrected issues with nan values arising from training
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Important implementations to include in main: