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pytorch-experiments-template
A pytorch based classification experiments template
GNU General Public License v3.0
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Save only top k validation models based on accuracy
#33
jack-willturner
closed
3 years ago
1
Fixing a minor bug that can become truly annoying
#32
AntreasAntoniou
closed
3 years ago
1
Earlier bug fix somehow not pushed properly
#31
AntreasAntoniou
closed
3 years ago
0
Bug busting 27
#29
AntreasAntoniou
closed
3 years ago
0
fixing missing parenthesis
#28
AntreasAntoniou
closed
3 years ago
0
Multithreading related error after introducing 'rich' as the interface package
#27
AntreasAntoniou
closed
3 years ago
2
fixed typo from im_size to image_shape
#26
eleanor91888388
closed
3 years ago
0
Metric tracking patch 1
#25
AntreasAntoniou
closed
3 years ago
0
I badly resolved merge conflicts earlier - fixed here
#24
jack-willturner
closed
3 years ago
0
Create environment.yml
#23
jack-willturner
closed
3 years ago
0
Beautification+integration jack stuff
#22
AntreasAntoniou
closed
3 years ago
1
iss7
#21
jack-willturner
closed
3 years ago
0
Antreas dev merge with main
#20
AntreasAntoniou
closed
3 years ago
0
Antreas dev
#19
AntreasAntoniou
closed
3 years ago
0
Write a nice set of tests in pytest format and ensure current functionality is decently tested
#18
AntreasAntoniou
opened
3 years ago
1
Automatically running a folder of experiment scripts to completion and reporting on progress along the way
#17
AntreasAntoniou
opened
3 years ago
0
Automating GPU allocation
#16
AntreasAntoniou
closed
3 years ago
1
Automating experiment config generation for hyper-parameter searching
#15
AntreasAntoniou
closed
3 years ago
1
Merge `luke_dev` into main
#14
jack-willturner
closed
3 years ago
0
Testing slack bot after subscription
#13
AntreasAntoniou
closed
3 years ago
1
Testing slack bot
#12
AntreasAntoniou
closed
3 years ago
1
iss4: data loading
#11
jack-willturner
closed
3 years ago
0
Switch branch master to main
#9
jack-willturner
closed
3 years ago
1
Experiment folder not named according to any hyper parameters, but as an argument. Issue?
#8
learning-luke
closed
3 years ago
3
Model selector is inherently limited and could do with work
#7
learning-luke
closed
3 years ago
1
scheduler.step() has inconsistent behaviour with pytorch versions. Getting the right LR when resuming an experiment is annoying and needs work.
#6
learning-luke
opened
3 years ago
0
get_losses function is a bit redundant for general use
#5
learning-luke
closed
3 years ago
1
Data loading (in utils/datasets.py) is quite ugly, although highly functional.
#4
learning-luke
closed
3 years ago
17
Some better abstraction with parts of the code in the main train file
#3
learning-luke
closed
3 years ago
7
Metric tracking is clunky
#2
learning-luke
closed
3 years ago
3
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