Commits · 5d154b8787ab2dae465ba331b36a8f459733869e · Lucas Miranda / deepOF · GitLab

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Jul 28, 2020
- Enhanced performance with tf.function decorators · 5d154b87
  Lucas Miranda authored 4 years ago
  
  5d154b87
- Enhanced performance with tf.function decorators · b5f14108
  Lucas Miranda authored 4 years ago
  
  b5f14108
- Enhanced performance with tf.function decorators · 7663405d
  Lucas Miranda authored 4 years ago
  
  7663405d
Jul 24, 2020
- Implemented 1 cycle learning rate schedule · 26a21aa0
  Lucas Miranda authored 4 years ago
  
  26a21aa0
- Implemented 1 cycle learning rate schedule · c1d1d84f
  Lucas Miranda authored 4 years ago
  
  c1d1d84f
- Implemented 1 cycle learning rate schedule · 9f758582
  Lucas Miranda authored 4 years ago
  
  9f758582
- Implemented Montecarlo Dropout custom layer · a3d522a2
  Lucas Miranda authored 4 years ago
  
  a3d522a2
Jul 23, 2020
- Implemented Montecarlo Dropout custom layer · 876524ec
  Lucas Miranda authored 4 years ago
  
  876524ec
- Implemented Montecarlo Dropout custom layer · f1f98af4
  Lucas Miranda authored 4 years ago
  
  f1f98af4
- Implemented Montecarlo Dropout custom layer · 76597d55
  Lucas Miranda authored 4 years ago
  
  76597d55
Jul 20, 2020
- test posterior with constant variance per component · efaa08cb
  Lucas Miranda authored 4 years ago
  
  efaa08cb
- Early stopping now uses the overall loss function instead of the intercomponent overlap · b749ede1
  Lucas Miranda authored 4 years ago
  
  b749ede1
- Early stopping now uses the overall loss function instead of the intercomponent overlap · 663a98d6
  Lucas Miranda authored 4 years ago
  
  663a98d6
- Early stopping now uses the overall loss function instead of the intercomponent overlap · 806428a3
  Lucas Miranda authored 4 years ago
  
  806428a3
- Early stopping now uses the overall loss function instead of the intercomponent overlap · afb3a322
  Lucas Miranda authored 4 years ago
  
  afb3a322
- Early stopping now uses the overall loss function instead of the intercomponent overlap · 2481cbb8
  Lucas Miranda authored 4 years ago
  
  2481cbb8
- Early stopping now uses the overall loss function instead of the intercomponent overlap · ae848b4f
  Lucas Miranda authored 4 years ago
  
  ae848b4f
- Added maximum entropy regulariser to the gaussian mixture weight layer · 1968790c
  Lucas Miranda authored 4 years ago
  
  1968790c
- Added maximum entropy regulariser to the gaussian mixture weight layer · b5d3c717
  Lucas Miranda authored 4 years ago
  
  b5d3c717
Jul 15, 2020
- Modified LSTMs to work with cuDNN implementation · ae9006bb
  Lucas Miranda authored 4 years ago
  
  ae9006bb
Jul 13, 2020
- Modified LSTMs to work with cuDNN implementation · 70724ab8
  Lucas Miranda authored 4 years ago
  
  70724ab8
Jul 08, 2020
- Implemented Markov transition matrices and autocorrelation calculations in... · 00900cf3
  Lucas Miranda authored 4 years ago
  00900cf3
- Implemented Markov transition matrices and autocorrelation calculations in... · e3c1b769
  Lucas Miranda authored 4 years ago
  e3c1b769
- Implemented Markov transition matrices and autocorrelation calculations in... · c74ddedc
  Lucas Miranda authored 4 years ago
  c74ddedc
- Implemented mmd between Gaussian mixture components to track cluster... · 436e9625
  Lucas Miranda authored 4 years ago
  436e9625
Jul 07, 2020
- Implemented mmd between Gaussian mixture components to track cluster... · 84c2e957
  Lucas Miranda authored 4 years ago
  84c2e957
- Implemented mmd between Gaussian mixture components to track cluster... · 9e636771
  Lucas Miranda authored 4 years ago
  9e636771
- Implemented mmd between Gaussian mixture components to track cluster... · 46d9f395
  Lucas Miranda authored 4 years ago
  46d9f395
- Implemented mmd between Gaussian mixture components to track cluster... · 7725eb28
  Lucas Miranda authored 4 years ago
  7725eb28
Jul 06, 2020
- Implemented shuffle parameter in preprocessing; shuffled validation data in model_training.py · 2b01ccdd
  Lucas Miranda authored 4 years ago
  
  2b01ccdd
- Implemented shuffle parameter in preprocessing; shuffled validation data in model_training.py · e46d76a7
  Lucas Miranda authored 4 years ago
  
  e46d76a7
- Implemented shuffle parameter in preprocessing; shuffled validation data in model_training.py · a3c034cc
  Lucas Miranda authored 4 years ago
  
  a3c034cc
- Implemented shuffle parameter in preprocessing; shuffled validation data in model_training.py · 5411ea58
  Lucas Miranda authored 4 years ago
  
  5411ea58
Jul 04, 2020
- Implemented shuffle parameter in preprocessing; shuffled validation data in model_training.py · bc513ec5
  Lucas Miranda authored 4 years ago
  
  bc513ec5
- Implemented shuffle parameter in preprocessing; shuffled validation data in model_training.py · d05538b2
  Lucas Miranda authored 4 years ago
  
  d05538b2
Jul 03, 2020
- Implemented weight saving callback in model_training.py · f78f765f
  Lucas Miranda authored 4 years ago
  
  f78f765f
Jun 10, 2020
- Changed full model for diagonal model in all variational implementations in models.py · 27de1948
  Lucas Miranda authored 5 years ago
  
  27de1948
- Changed full model for diagonal model in all variational implementations in models.py · 4cb12bed
  Lucas Miranda authored 5 years ago
  
  4cb12bed
- Changed full model for diagonal model in all variational implementations in models.py · 0c804556
  Lucas Miranda authored 5 years ago
  
  0c804556
- Changed full model for diagonal model in all variational implementations in models.py · 52f4351f
  Lucas Miranda authored 5 years ago
  
  52f4351f