c54816aa93
add evaluation transform method
2026-04-25 11:01:38 +02:00
02991a7eb5
no grad if frozen in forward pass
2026-04-25 11:00:14 +02:00
417319457a
remove image folder
2026-04-25 10:14:22 +02:00
7e32fc994f
return tuple (img, target) even on unlabeled data
2026-04-18 15:02:17 +02:00
24de5b3078
add data and logs
2026-04-18 12:35:21 +02:00
f2129dc28a
Fixed conflicts between cluster and github versions
2026-04-18 12:32:22 +02:00
69d811ecb4
slurm version of main_distributed.py
2026-04-18 12:28:40 +02:00
f513bc97b4
cuda 12.1
2026-04-18 12:21:45 +02:00
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
...
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