Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input
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Jun 8, 2025 - Python
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hypernetworks
Here are 60 public repositories matching this topic...
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
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Sep 17, 2022 - Python
Hypernetworks that update LLMs to remember factual information
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Jun 15, 2026 - Python
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
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Mar 20, 2021 - Python
Package for working with hypernetworks in PyTorch.
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Sep 7, 2023 - Python
Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
machine-learning deep-learning pytorch computational-photography color-correction whitebalance hypernetworks white-balance cross-camera illuminant-estimation color-constancy colorconstancy iccv2021
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Jan 14, 2024 - Python
Easy Hypernetworks in Pytorch and Jax
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Jan 27, 2023 - Jupyter Notebook
A collection of weight space learning including papers, codes, and datasets.
machine-learning model-zoo generative-model representation-learning symmetry hypernetworks metanet model-retrieval diffusion-models behavior-prediction weight-space model-merging weight-space-learning model-initialization
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May 12, 2026
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
image-processing dehaze image-restoration denoising hypernetworks deblur derain all-in-one-image-restoration
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Nov 13, 2024 - Python
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
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Jun 21, 2024 - Python
This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
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Jan 17, 2026 - Python
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
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Aug 27, 2024 - Shell
HyperPCM: Robust task-conditioned modeling of drug-target interactions
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Oct 1, 2024 - Python
Dynamic weight generation for recursive transformers via input-conditioned LoRA modulation
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Apr 2, 2026 - Python
The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch
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Jul 23, 2021 - Python
Code for Stochastic Hyperparameter Optimization through Hypernetworks
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Jun 11, 2018 - TeX
GPU-accelerated neural network operations using Vulkan compute shaders.
open-source machine-learning opensource framework deep-learning amd vulkan python3 neural-networks experiments visual-reasoning hypernetworks world-models vector-symbolic-architectures vma block-codes pytorch-alternative cooperative-matrix i-raven-x i-raven
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Jul 29, 2026 - Python
The official implementation of the "Hypernetwork approach to generating point clouds" paper
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Dec 17, 2023 - Python
Official repository for "Estimating Epistemic and Aleatoric Uncertainty with a Single Model"
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Nov 7, 2024 - Python
Neuromodulatory Control Networks (NCNs), a novel LLM architectural modification inspired by the neuromodulatory systems in the vertebrate brain.
python ai neuroscience pytorch attention feedforward-neural-network hypernetworks pytorch-implementation neuroscience-inspired-ai neuromodulated-networks neuromodulation biologically-inspired-algorithm large-language-models llm llms ai-architecture dynamic-processing context-dependent-processing biologically-inspired neuromodulatory-control-networks
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Dec 11, 2025 - Python
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