A PyTorch Library for Learning Pareto Front of Multi-Objective Problem
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Updated
Jun 4, 2024 - Python
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
HyperPCM: Robust task-conditioned modeling of drug-target interactions
Code for "HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets"
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
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.
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]
Implementation of a holodeck, written in Pytorch
Package for working with hypernetworks in PyTorch.
Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
NN research library built on torch
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection
My bachelor thesis in Computer Science, "Hypernetwork-PPO for Continual Reinforcement Learning".
Easy Hypernetworks in Pytorch and Jax
Model reduction via neural network pruning on NIF.
本项目是基于stable-diffusion-webui,通过pixiv图片训练得到的纳西妲模型
PyTorch code for our CIKM 2022 paper "Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty"
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