Initial release of pre-trained models of Mixed Barlow Twins.

## ResNet-18
| Dataset        |  d   | Lambda_BT | Lambda_Reg | Path to Pretrained Model | KNN Acc. | Linear Acc. |
| ----------     | ---  | ---------- | ---------- | ------------------------ | -------- | ----------- |
| CIFAR-10       | 1024 | 0.0078125  | 4.0        | 4wdhbpcf_0.0078125_1024_256_cifar10_model.pth     | 90.52    | 92.58        |
| CIFAR-100      | 1024 | 0.0078125  | 4.0        | 76kk7scz_0.0078125_1024_256_cifar100_model.pth     | 61.25     | 69.31        |
| TinyImageNet   | 1024 | 0.0009765  | 4.0        | 02azq6fs_0.0009765_1024_256_tiny_imagenet_model.pth     | 38.11    | 51.67        |
| STL-10         | 1024 | 0.0078125  | 2.0        | i7det4xq_0.0078125_1024_256_stl10_model.pth     | 88.94     | 91.02        |

## ResNet-50
| Dataset        |  d   | Lambda_BT | Lambda_Reg | Path to Pretrained Model | KNN Acc. | Linear Acc. |
| ----------     | ---  | ---------- | ---------- | ------------------------ | -------- | ----------- |
| CIFAR-10       | 1024 | 0.0078125  | 4.0        | v3gwgusq_0.0078125_1024_256_cifar10_model.pth     | 91.39     | 93.89        |
| CIFAR-100      | 1024 | 0.0078125  | 4.0        | z6ngefw7_0.0078125_1024_256_cifar100_model.pth     | 64.32     | 72.51        |
| TinyImageNet   | 1024 | 0.0009765  | 4.0        | kxlkigsv_0.0009765_1024_256_tiny_imagenet_model.pth     | 42.21     | 51.84        |
| STL-10         | 1024 | 0.0078125  | 2.0        | pbknx38b_0.0078125_1024_256_stl10_model.pth     | 87.79     | 91.70        |

**On ImageNet**

| # Epochs        |  $d$   | $\lambda_{BT}$ | $\lambda_{reg}$ | Download Link to Pretrained Model | Linear Acc. |
| ----------     | ---  | ---------- | ---------- | ------------------------ | ----------- |
| 300             | 8192 | 0.0051  | 0.0 (i.e., BT)        | [3on0l4wl_0.0000_8192_1024_imagenet_resnet50.pth](https://github.com/wgcban/mix-bt/releases/download/v1.0.0/3on0l4wl_0.0000_8192_1024_imagenet_resnet50.pth)   | 71.3        |
| 300             | 8192 | 0.0051  | 0.0025       | [l418b9zw_0.0025_8192_1024_imagenet_resnet50.pth](https://github.com/wgcban/mix-bt/releases/download/v1.0.0/l418b9zw_0.0025_8192_1024_imagenet_resnet50.pth)     |  70.9        |
| 300             | 8192 | 0.0051  | 0.1        | [13awtq23_0.1000_8192_1024_imagenet_resnet50](https://github.com/wgcban/mix-bt/releases/download/v1.0.0/13awtq23_0.1000_8192_1024_imagenet_resnet50.pth)   | 71.6        |
| 300             | 8192 | 0.0051  | 1.0        | [3fb1op86_1.0000_8192_1024_imagenet_resnet50.pth](https://github.com/wgcban/mix-bt/releases/download/v1.0.0/3fb1op86_1.0000_8192_1024_imagenet_resnet50.pth)     | 72.2        |
| 300             | 8192 | 0.0051  | 3.0        | []()     | xx.x        |
| 300             | 8192 | 0.0051  | 5.0        | []()     | xx.x        |

Download the pre-trained models and store them in the `checkpoints/` folder.