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tkarab
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diplomaThesis
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feat: subsampled data taken in data_loader, passed fromo #57 to #15
#66
tkarab
closed
2 days ago
0
best_acc and best_loss added to json file from #57 to #15
#65
tkarab
closed
1 week ago
0
changes of #59 (lr scheduler) from #15 to #57
#64
tkarab
closed
1 week ago
0
feat: flags added from #59 to #15
#63
tkarab
closed
1 week ago
0
#59 lr scheduler after each epoch to #15
#62
tkarab
closed
1 week ago
0
Early stopping Callback
#61
tkarab
opened
1 week ago
0
feat: #57 callback for saving progress during training to #15
#60
tkarab
closed
1 week ago
0
lr scheduler after each epoch
#59
tkarab
closed
1 week ago
0
feat: model checkpoint and info saving callback #15
#58
tkarab
closed
2 weeks ago
0
Callback for saving progress during training
#57
tkarab
opened
3 weeks ago
0
feat: 55 callback for changing task generator mode between train test and val
#56
tkarab
closed
3 weeks ago
0
Callback for changing task generator mode between 'train', 'test' and 'val'
#55
tkarab
closed
3 weeks ago
0
Revert "Dev to #15"
#54
tkarab
closed
4 weeks ago
0
Dev to #15
#53
tkarab
closed
1 month ago
0
15 feat redifine the training porcess in a more parametric way according to phycs2108 paper by ptsing
#52
tkarab
closed
1 month ago
0
feat: 45 create training episodes offline
#51
tkarab
closed
1 month ago
0
Feat: 48 minor improvements in preprocessing
#50
tkarab
closed
1 month ago
0
test.py #45 to #48
#49
tkarab
closed
1 month ago
0
make 'get_data_based_on_keys' quicker by saving data in a pd dataframe
#48
tkarab
closed
1 month ago
0
minmax norm from Dev to 15
#47
tkarab
closed
1 month ago
0
feat: 14- minmax added
#46
tkarab
closed
1 month ago
0
Create training episodes offline
#45
tkarab
opened
1 month ago
2
add histogram which shows keys that are created (ensure that all gestures/reps/subjects participate in the training process)
#44
tkarab
closed
1 month ago
1
Feat: #42 add batches to training episodes instead of one task
#43
tkarab
closed
1 month ago
0
Add batches to training episodes instead of one task
#42
tkarab
closed
1 month ago
0
feat: segmantation window siaze / step taken in ms
#41
tkarab
closed
1 month ago
0
feat: segmentation window size / step taken in ms
#40
tkarab
closed
1 month ago
0
perf: More efficient way to extract and separate signals from databases using numpy functions
#39
tkarab
opened
1 month ago
0
Dev to 14 : preprocessing and augmentation getting called by task generator
#38
tkarab
closed
1 month ago
0
feat: preprocessing and augmentation being done by task generator
#37
tkarab
closed
1 month ago
0
Feat: 33 write script for preprocessing and augmenting data according to configurations dict on trainpy
#36
tkarab
closed
1 month ago
0
preprocessing and augmentataion modules from Dev to #15
#35
tkarab
closed
1 month ago
0
Feat: 14 redefine preprocessing functions according to phycs2108 paper by ptsing
#34
tkarab
closed
1 month ago
0
Write script for preprocessing and augmenting data according to configurations dict on train.py
#33
tkarab
closed
1 month ago
0
feat: 29 feat separate script for data preprocessing and augmentation using json config files
#32
tkarab
closed
1 month ago
0
feat: #28 add script for creating and saving preprocessing configurations json files
#31
tkarab
closed
1 month ago
0
feat: #26 time all the preprocessing operations and determine which slow ones can be done beforehand / More efficient rms rectification algorithm
#30
tkarab
closed
1 month ago
0
feat: Separate script for data preprocessing and augmentation using json config files
#29
tkarab
closed
1 month ago
0
add script for creating and saving preprocessing configurations json files
#28
tkarab
closed
1 month ago
0
feat: addition of 'reformat_key' function
#27
tkarab
closed
1 month ago
0
Time all the preprocessing operations and determine which slow ones can be done beforehand - redefine RMS Rect more efficiently
#26
tkarab
closed
1 month ago
0
changes from #15 (preprocessing redefinition) passed from Dev -> #14
#25
tkarab
closed
1 month ago
0
feat: redefinition of the preprocessing process to pass onto #14 (+refactoring of certain parts)
#24
tkarab
closed
1 month ago
0
changes from #15 (training process) to #14 (preprocessing)
#23
tkarab
closed
1 month ago
0
feat: removal of unnecessary parts from src files, data augmentation script, Azori DB2 embedding model
#22
tkarab
closed
1 month ago
0
Remove segments.npz file as it contains unnecessarily duplicate info and instead create it dynamically upon TaskGenerator instance constructor
#21
tkarab
closed
1 month ago
0
Redefine the feed-forward process by reshaping query set and passing them all at once
#20
tkarab
closed
2 months ago
0
feat: code for train-test-validation split upon initializing task generator
#19
tkarab
opened
2 months ago
0
fix: problem of dimension mismatch between support and query set
#18
tkarab
closed
3 months ago
0
code from Dev to #15
#17
tkarab
closed
3 months ago
0
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