There are 2 repositories under hypernetworks topic.
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
Package for working with hypernetworks in PyTorch.
Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
The official implementation of the "Hypernetwork approach to generating point clouds" paper
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection
Implementation of a holodeck, written in Pytorch
Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
Code for "HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets"
本项目是基于stable-diffusion-webui,通过pixiv图片训练得到的纳西妲模型
Guide to implementing hypernetworks in keras using tensorflow 2.0 as backend
Explainable deep networks that are not only as accurate as their black-box deep-learning counterparts but also as interpretable as state-of-the-art explanation techniques.
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
This repository contains the code for the paper: Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning
My bachelor thesis in Computer Science, "Hypernetwork-PPO for Continual Reinforcement Learning".
over-parameterization = exploration ?
PyTorch code for our CIKM 2022 paper "Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty"
NN research library built on torch
Hypernetworks in keras using tensorflow 2.0 as backend using custom layers and models.
Model reduction via neural network pruning on NIF.
Code for Recursive Neural Programs: A differentiable framework for learning compositional part-whole hierarchies and image grammars