4c4d6713e0
add save checkpoint logic
2026-04-15 13:43:05 +02:00
ebad8ee627
experiment logs and venv
2026-04-15 13:23:24 +02:00
0a38a264f7
add supervised training pipeline
2026-04-15 13:22:44 +02:00
e2910cb458
Header for Linear Probing
2026-04-12 11:19:06 +02:00
4ec019f650
submitit for main_distributed.py
2026-04-05 18:46:55 +02:00
8956531fe5
change explicitly for slurm cluster
2026-04-05 18:44:54 +02:00
5da7b0f521
requirements.txt
2026-04-04 12:10:07 +02:00
e49c793cea
wilds vit huge yaml params
2026-04-04 11:23:04 +02:00
4d2fd1021b
integrate make_iwildcam in train.py
2026-04-02 14:15:06 +02:00
5165607f55
wilds dataset loader
2026-04-01 16:26:35 +02:00
f1656deab3
Update README for WILDS-IJEPA project
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This fork of the official I-JEPA repository focuses on applying the learning method to wild animal images to enhance the generalization capabilities of wildlife image classification models in various locations with limited data.
2026-03-25 12:55:05 +01:00
52c1ae95d0
Initial commit
2023-06-13 13:03:30 +00:00
YannAhlgrim