Hypernetworks in keras using tensorflow 2.0 as backend using custom layers and models.
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Updated
Dec 11, 2019 - Jupyter Notebook
Hypernetworks in keras using tensorflow 2.0 as backend using custom layers and models.
Model reduction via neural network pruning on NIF.
A simply hypernetwork library written in JAX and Haiku.
HyperFast (https://github.com/AI-sandbox/HyperFast) re-writed so you can customize and save the hyper and generated network
torchhyper: A PyTorch library for modular hypernetworks
NN research library built on torch
Implementation of hypernetwork augmented Actor-Critic in multi-objective reinforcement learning for MsC Thesis: "Generalizing Pareto optimal policies in multi-objective reinforcement learning"
My bachelor thesis in Computer Science, "Hypernetwork-PPO for Continual Reinforcement Learning".
over-parameterization = exploration ?
Implementation of the Genomic Bottleneck algorithm in PyTorch.
This repository contains the code for the paper: Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning
A PyTorch Library for Learning Pareto Front of Multi-Objective Problem
Code for Recursive Neural Programs: A differentiable framework for learning compositional part-whole hierarchies and image grammars
PyTorch code for our CIKM 2022 paper "Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty"
Predicting Munich Airbnb Listing Prices for MALIS (2024/2025) third project
The official implementation of the "Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" paper
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
本项目是基于stable-diffusion-webui,通过pixiv图片训练得到的纳西妲模型
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