HSG-AIML / NeurIPS_2022-Generative_Hyper_RepresentationsLinks
Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".
☆16Updated last year
Alternatives and similar repositories for NeurIPS_2022-Generative_Hyper_Representations
Users that are interested in NeurIPS_2022-Generative_Hyper_Representations are comparing it to the libraries listed below
Sorting:
- Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling".☆38Updated 4 months ago
- [ICLR 2024] Improving Convergence and Generalization Using Parameter Symmetries☆29Updated last year
- ☆17Updated 6 months ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated last year
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- ☆31Updated 4 years ago
- Official implementation of the paper The Hidden Language of Diffusion Models☆74Updated last year
- Official Implementation for PlugIn Inversion☆16Updated 3 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆28Updated last year
- Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"☆39Updated last month
- NeurIPS23 "Flow Factorized Representation Learning"☆37Updated 8 months ago
- ☆16Updated last year
- ☆47Updated 2 years ago
- Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"☆78Updated last year
- ☆44Updated 10 months ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆15Updated 5 months ago
- Official code for "On Calibrating Diffusion Probabilistic Models"☆29Updated 2 years ago
- Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.☆20Updated 4 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 2 years ago
- Official Implementation of Nabla-GFlowNet (ICLR 2025)☆24Updated 2 months ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆108Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago
- PDM-based Purifier☆21Updated 8 months ago
- Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".☆78Updated 3 weeks ago
- Derivative-Free, Training-Free, Guidance in Diffusion Models☆13Updated 9 months ago
- ☆51Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆69Updated 3 months ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆39Updated last month