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  1. .gitignore +2 -0
  2. checkpoints/fm_mae_pretrain_vit_small.pth +3 -0
  3. datasets/Schaefer2018_400Parcels_7Networks_order.flat.npy +3 -0
  4. datasets/Yeo2011_RSFC_7Networks.flat.npy +3 -0
  5. datasets/flat-clips/hcp-train-task-clips-16t/0000000.pt +3 -0
  6. datasets/flat-clips/hcp-train-task-clips-16t/0000001.pt +3 -0
  7. datasets/flat-clips/hcp-train-task-clips-16t/0000002.pt +3 -0
  8. datasets/flat-clips/hcp-train-task-clips-16t/0000003.pt +3 -0
  9. datasets/flat-clips/hcp-train-task-clips-16t/0000004.pt +3 -0
  10. datasets/flat-clips/hcp-train-task-clips-16t/0000005.pt +3 -0
  11. datasets/flat-clips/hcp-train-task-clips-16t/0000006.pt +3 -0
  12. datasets/flat-clips/hcp-train-task-clips-16t/0000007.pt +3 -0
  13. datasets/flat-clips/hcp-train-task-clips-16t/0000008.pt +3 -0
  14. datasets/flat-clips/hcp-train-task-clips-16t/0000009.pt +3 -0
  15. datasets/flat-clips/hcp-train-task-clips-16t/0000010.pt +3 -0
  16. datasets/flat-clips/hcp-train-task-clips-16t/0000011.pt +3 -0
  17. datasets/flat-clips/hcp-train-task-clips-16t/0000012.pt +3 -0
  18. datasets/flat-clips/hcp-train-task-clips-16t/0000013.pt +3 -0
  19. datasets/flat-clips/hcp-train-task-clips-16t/0000014.pt +3 -0
  20. datasets/flat-clips/hcp-train-task-clips-16t/0000015.pt +3 -0
  21. datasets/flat-clips/hcp-train-task-clips-16t/0000016.pt +3 -0
  22. datasets/flat-clips/hcp-train-task-clips-16t/0000017.pt +3 -0
  23. datasets/flat-clips/hcp-train-task-clips-16t/0000018.pt +3 -0
  24. datasets/flat-clips/hcp-train-task-clips-16t/0000019.pt +3 -0
  25. datasets/flat-clips/hcp-train-task-clips-16t/0000020.pt +3 -0
  26. datasets/flat-clips/hcp-train-task-clips-16t/0000021.pt +3 -0
  27. datasets/flat-clips/hcp-train-task-clips-16t/0000022.pt +3 -0
  28. datasets/flat-clips/hcp-train-task-clips-16t/0000023.pt +3 -0
  29. datasets/flat-clips/hcp-train-task-clips-16t/0000024.pt +3 -0
  30. datasets/flat-clips/hcp-train-task-clips-16t/0000025.pt +3 -0
  31. datasets/flat-clips/hcp-train-task-clips-16t/0000026.pt +3 -0
  32. datasets/flat-clips/hcp-train-task-clips-16t/0000027.pt +3 -0
  33. datasets/flat-clips/hcp-train-task-clips-16t/0000028.pt +3 -0
  34. datasets/flat-clips/hcp-train-task-clips-16t/0000029.pt +3 -0
  35. datasets/flat-clips/hcp-train-task-clips-16t/0000030.pt +3 -0
  36. datasets/flat-clips/hcp-train-task-clips-16t/0000031.pt +3 -0
  37. datasets/flat-clips/hcp-train-task-clips-16t/0000032.pt +3 -0
  38. datasets/flat-clips/hcp-train-task-clips-16t/0000033.pt +3 -0
  39. datasets/flat-clips/hcp-train-task-clips-16t/0000034.pt +3 -0
  40. datasets/flat-clips/hcp-train-task-clips-16t/0000035.pt +3 -0
  41. datasets/flat-clips/hcp-train-task-clips-16t/0000036.pt +3 -0
  42. datasets/flat-clips/hcp-train-task-clips-16t/0000037.pt +3 -0
  43. datasets/flat-clips/hcp-train-task-clips-16t/0000038.pt +3 -0
  44. datasets/flat-clips/hcp-train-task-clips-16t/0000039.pt +3 -0
  45. datasets/flat-clips/hcp-train-task-clips-16t/0000040.pt +3 -0
  46. datasets/flat-clips/hcp-train-task-clips-16t/0000041.pt +3 -0
  47. datasets/flat-clips/hcp-train-task-clips-16t/0000042.pt +3 -0
  48. datasets/flat-clips/hcp-train-task-clips-16t/0000043.pt +3 -0
  49. datasets/flat-clips/hcp-train-task-clips-16t/0000044.pt +3 -0
  50. datasets/flat-clips/hcp-train-task-clips-16t/0000045.pt +3 -0
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