| File | Mode | Size |
|---|---|---|
| cifar10_x3_l4.py | -rw-r--r-- | 1.4 KB |
| mnist_x2_l4.py | -rw-r--r-- | 1.4 KB |
| modelnet_x3_l4.py | -rw-r--r-- | 1.3 KB |
| modelnet_x3_l4_aligned.py | -rw-r--r-- | 1.3 KB |
| modelnet_x3_l4_aligned_w_fts.py | -rw-r--r-- | 1.4 KB |
| modelnet_x3_l4_no_X.py | -rw-r--r-- | 1.3 KB |
| modelnet_x3_l4_no_X_wider.py | -rw-r--r-- | 1.3 KB |
| modelnet_x3_l4_w_fts.py | -rw-r--r-- | 1.3 KB |
| modelnet_x3_l4_yxz.py | -rw-r--r-- | 1.3 KB |
| modelnet_x3_l5_no_X.py | -rw-r--r-- | 1.4 KB |
| quick_draw_full_x2_l6.py | -rw-r--r-- | 1.8 KB |
| scannet_x2_l4.py | -rw-r--r-- | 1.3 KB |
| train_val_cifar10.sh | -rwxr-xr-x | 942 bytes |
| train_val_mnist.sh | -rwxr-xr-x | 939 bytes |
| train_val_modelnet.sh | -rwxr-xr-x | 945 bytes |
| train_val_quick_draw.sh | -rwxr-xr-x | 875 bytes |
| train_val_scannet.sh | -rwxr-xr-x | 950 bytes |
| train_val_tu_berlin.sh | -rwxr-xr-x | 946 bytes |
| tu_berlin_x3_l4.py | -rw-r--r-- | 1.4 KB |
