representation
multilingual-style-representationvoxel-representation-gemma3-4b-i1-GGUFvoxel-representation-gemma3-4b-cp-1100-i1-GGUFfarm_molecular_representationvoxel-representation-gemma3-4b-cp-1100-GGUFvoxel-representation-gemma3-4b-GGUFvirus_pythia_31_1024_2d_representation_MSEPlusCEcareer-path-representation-mpnet-decorte
Debunk_Traffic_Representation
Packet-level classification: classify based on packet
Per-packet-split: Mix all packets and split them into train, val, and test sets, based on 8:1:1
Per-flow-split: Split the pcap files based on 5-tuples (src_IP, dst_IP, src_port, dst_port, and protocol), using 3-fold validation, and there is no intersection between the train, val, and test sets.
Flow-level classification: classify based on flow
spacehpc-representation-scaling-k0-v1quantum-representations
Epsilon-Transformers Belief Analysis Dataset
This dataset contains trained neural network models and their corresponding belief state regression analysis from the Epsilon-Transformers project. The models were trained on four different stochastic processes and analyzed for their ability to learn and represent belief states.
See https://github.com/adamimos/epsilon-transformers/tree/quantum-public for codebase which generated this data.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/SimplexAI/quantum-representations.qiskit-representation-search-alphamscoco-hidden-representationvdr-jina-v4-layer-representation