Package for working with hypernetworks in PyTorch.

[WWW2023] PyTorch implementation of "DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization".

Hypernetwork training considerations and implementation types in PyTorch. Includes classification and time-series examples alongside 1D GroupConv Parallelization.

Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)

Hypernetwork-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State-Guided Model Updating

Imaging tools CLI for preprocessing datasets before model training.

Using teacher assistant networks to distill recommender systems

Hypergraph-based Investigation of Perturbation Effects and Resilience (HIPER) provides optimized data structures and algorithms for hypernetwork analysis and attack simulation.