hypnp library:20251025_174116_606035 - projection_encoder: An encoding/decoder network.20251029_110345_695678 - projection_qr: A QR decomposition encoder and deep decoder network.20251026_035736_830488 - grouper_arranger: A band selection module.20251026_044313_346452 - grouper_arranger_skip: A band selection module with skip attention network.20251026_141518_492696 - film_middle: A FiLM that hooks middle layers of the DRUNet. Baseline result.20251026_063231_578169 - film_middle_qr: FiLM network with QR projection of the input.20251027_091506_635645 - film_middle_qr_groups_10: FiLM network with QR projection, with inputs passed sequentially in groups of 10.20251029_093111_154168 - film_no_head: FiLM network without trained head in DRUNet.20251031_173527_494979 - film_full: FiLM full network20251102_135320_481765 - lora_pca_big: LoRA network applied on a PCA decomposition.20251104_192334_965269 - cave_projection_matrix_orthogonal: Linear channel projection, with orthogonal matrix.20251105_024251_967712 - cave_projection_matrix_orthogonal_compressed: Linear channel projection matrix to 3 channels. Matrix is constrained to be orthogonal.20251104_200826_195587 - cave_projection_matrix_simplex: Linear channel projection matrix constrained to be positive with sum-to-one condition.20251104_230322_748168 - cave_projection_matrix_simplex_compressed: Linear channel projection matrix to 3 channels. Matrix is constrained to be positive with sum-to-one condition.202601209_131831_409082 - harvard_projection_matrix_orthogonal: Linear channel projection, with orthogonal matrix, trained on the Harvard dataset.