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kingabzpro
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savtadepth
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79fd7d0
savtadepth
6 contributors
History:
16 commits
Dean
Fixed a bug in the training stage where the model was not saved, commiting before training on colab
79fd7d0
about 4 years ago
.dvc
Hopefully finished with the requirements debacle, now using conda but freezing requirements with pip as usual
about 4 years ago
Notebooks
Transition to MLWorkspace docker and setup makefile with environment commands
about 4 years ago
src
Fixed a bug in the training stage where the model was not saved, commiting before training on colab
about 4 years ago
.dvcignore
139 Bytes
Finished data import and processing setup, bug in training step
about 4 years ago
.gitignore
93 Bytes
Migrated to fastai2, creating the DataLoader now works but I'm stuck on not being able to change the batch_size or num_workers as the interface seems to have changed
about 4 years ago
Makefile
1.43 kB
*Split commands of preparing environment in README file > *added -y for conda env creation for less interactions for the user
about 4 years ago
README.md
3.33 kB
*Split commands of preparing environment in README file > *added -y for conda env creation for less interactions for the user
about 4 years ago
dvc.lock
474 Bytes
Finished data import and processing setup, bug in training step
about 4 years ago
dvc.yaml
461 Bytes
Fixed a bug in the training stage where the model was not saved, commiting before training on colab
about 4 years ago
requirements.txt
1.84 kB
Migrated to fastai2, creating the DataLoader now works but I'm stuck on not being able to change the batch_size or num_workers as the interface seems to have changed
about 4 years ago
run_dev_env.sh
227 Bytes
Migrated to fastai2, creating the DataLoader now works but I'm stuck on not being able to change the batch_size or num_workers as the interface seems to have changed
about 4 years ago