Guide to implementing hypernetworks in keras using tensorflow 2.0 as backend
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Updated
Jul 3, 2019 - Jupyter Notebook
Guide to implementing hypernetworks in keras using tensorflow 2.0 as backend
Hypernetworks in keras using tensorflow 2.0 as backend using custom layers and models.
over-parameterization = exploration ?
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
The official implementation of the "Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" paper
This repository contains the code for the paper: Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning
The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch
This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
PyTorch code for our CIKM 2022 paper "Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty"
本项目是基于stable-diffusion-webui,通过pixiv图片训练得到的纳西妲模型
Model reduction via neural network pruning on NIF.
Easy Hypernetworks in Pytorch and Jax
My bachelor thesis in Computer Science, "Hypernetwork-PPO for Continual Reinforcement Learning".
NN research library built on torch
Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
Package for working with hypernetworks in PyTorch.
Implementation of a holodeck, written in Pytorch
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
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