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rosikand
/
torchplate
🍽 A minimal and simple experiment module for machine learning research workflows in PyTorch.
https://rosikand.github.io/torchplate/
MIT License
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Add top-k accuracy metric
#17
rosikand
opened
1 year ago
0
call self.model.train() at the start of every epoch
#16
rosikand
opened
1 year ago
0
add classification_testloop callback
#15
rosikand
opened
1 year ago
0
Interface with comet.ml
#14
rosikand
opened
1 year ago
0
Automatic device placement of tensors
#13
rosikand
opened
1 year ago
0
Keep track of epoch state during training
#12
rosikand
opened
1 year ago
0
Interface with Hugging Face Accelerate for distributed training
#11
rosikand
opened
1 year ago
2
Small improvements to make
#10
rosikand
closed
1 year ago
6
Add base experiments for common tasks
#9
rosikand
opened
2 years ago
2
Open thread on proper style
#8
rosikand
opened
2 years ago
2
Add model serialization
#7
rosikand
closed
1 year ago
2
Add support and helpers for working with YAML and YACS configuration files
#6
rosikand
opened
2 years ago
1
Update experiment.py
#5
rohan-insitro
closed
2 years ago
0
Add wandb logging
#4
rosikand
closed
2 years ago
2
Add docs
#3
rosikand
closed
2 years ago
1
Add mixin class and inherit it in `torchplate.experiment.Experiment`
#2
rosikand
opened
2 years ago
1
Add ability to log multiple metrics in `train` and add history state
#1
rosikand
closed
1 year ago
6