hybrid · semantic + lexical · 2 datasets ranked · 1.45s
González-González, Pablo
24 files · 776 KB · npz
Vectorial representations for common image datasets: CIFAR10, CIFAR100, CIFAR100coarse MNIST, FashionMNIST SVHN Extracted using the scripts in this repo, where more details of the extraction can be consulted. The embeddings are provided in different modalities: features: the next-to-last representation of the network logits: the pre-softmax values predictions: the post-softmax values (posterior probabilities) targets: the true labels Each file is stored in format npz (dictionary-like) and contains the numpy representations for the keys "train", "val", and "test" partitions for each dataset. The "train" partition was used to train the corresponding neural model, "val" was used for training monitoring, and "test" was not used during training. The name of the file uses the format <dataset>_<neural-model>_<modality>.npz; for example: "svhn_resnet18_logits.npz". See reference list for publications related to each dataset.
Altenhoff, Adrian
6 files · 100 MB · hdf5
OMAmer - tree-driven and alignment-free protein assignment to subfamilies OMAmer is an alignment-free protein family assignment method designed to avoid overly specific subfamily predictions and to scale efficiently to phylogenomic databases containing thousands of genomes. It relies on an innovative approach that uses evolutionarily informed k-mers for alignment-free mapping to ancestral protein subfamilies. This dataset provides precomputed OMAmer databases derived from the Hierarchical Orthologous Groups in the OMA Browser . We aim to update these databases with every new OMA Browser release. Each OMAmer database is built using the latest version of the OMAmer package available at the time of the corresponding OMA Browser release. The dataset includes databases for different subsets of the species taxonomy. In most cases, we recommend using the LUCA.h5 database, which contains information from all species in the OMA database. The subset-specific databases are mainly useful when disk space is limited. The release May2026 is based on the OMA Browser release May 2026 which comprises 2983 species. We used OMAmer version 2.1.0 to build these databases.