forked from ecker/DL-Art-School
- Added LARS and SGD optimizer variants that support turning off certain features for BN and bias layers - Added a variant of pytorch's resnet model that supports gradient checkpointing. - Modify the trainer infrastructure to support above - Fix bug with BYOL (should have been nonfunctional) |
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| .. | ||
| .idea | ||
| data | ||
| models | ||
| scripts | ||
| trainer | ||
| utils | ||
| multi_modal_train.py | ||
| process_video.py | ||
| requirements.txt | ||
| test_image_patch_classifier.py | ||
| test.py | ||
| train.py | ||