Remove knee AdaIN checkpoint (weights never trained as AdaIN)

knee/vsharp_adain_triang_32_16.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3b06b2909ea0339e96eae64a423b803f7be755db1d0923c94689106d274af9e1
-size 1141624779

knee/vsharp_adain_triang_32_16.yaml

@@ -1,67 +0,0 @@
-model:
-    model_name: vsharp.vsharp.VSharpNet
-    num_steps: 12
-    num_steps_dc_gd: 10
-    image_init: SENSE
-    no_parameter_sharing: true
-    auxiliary_steps: -1
-    image_model_architecture: UNET
-    initializer_channels:
-        - 32
-        - 32
-        - 64
-        - 64
-    initializer_dilations:
-        - 1
-        - 1
-        - 2
-        - 4
-    initializer_multiscale: 1
-    initializer_activation: PRELU
-    aux_in_features: 2
-    log_aux: true
-    fc_hidden_features:
-        - 32
-        - 32
-    fc_groups: 1
-    fc_activation: SOFTPLUS
-    image_unet_num_filters: 32
-    image_unet_num_pool_layers: 4
-    image_unet_dropout: 0.0
-    image_unet_norm_type: ADAIN
-    image_unet_adain_hidden_features:
-        - 32
-        - 16
-additional_models:
-    sensitivity_model:
-        model_name: unet.unet_2d.UnetModel2d
-        in_channels: 2
-        out_channels: 2
-        num_filters: 16
-        num_pool_layers: 4
-        dropout_probability: 0.0
-        conv_out_bias: false
-physics:
-    forward_operator: fft2
-    backward_operator: ifft2
-inference:
-    batch_size: 1
-    crop: header
-    dataset:
-        name: FastMRI
-        transforms:
-            use_seed: true
-            delete_kspace: false
-            masking:
-                name: FastMRIEquispaced
-                accelerations:
-                    - 4
-                center_fractions:
-                    - 0.08
-            cropping:
-                image_center_crop: false
-            sensitivity_map_estimation:
-                estimate_sensitivity_maps: true
-            normalization:
-                scaling_key: masked_kspace
-                scale_percentile: 0.995