Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input
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Updated
Jun 8, 2025 - Python
Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Hypernetworks that update LLMs to remember factual information
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
Package for working with hypernetworks in PyTorch.
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
HyperPCM: Robust task-conditioned modeling of drug-target interactions
Dynamic weight generation for recursive transformers via input-conditioned LoRA modulation
The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch
GPU-accelerated neural network operations using Vulkan compute shaders.
Neuromodulatory Control Networks (NCNs), a novel LLM architectural modification inspired by the neuromodulatory systems in the vertebrate brain.
Official repository for "Estimating Epistemic and Aleatoric Uncertainty with a Single Model"
The official implementation of the "Hypernetwork approach to generating point clouds" paper
Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
Implementation of a holodeck, written in Pytorch
Code for the "Sample-efficient Integration of New Modalities into Large Language Models" paper
Code for "HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets"
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