JJGO / hyperlight
Modular and intuitive Hypernetworks in Pytorch
☆35Updated last year
Alternatives and similar repositories for hyperlight:
Users that are interested in hyperlight are comparing it to the libraries listed below
- Code for Diff-SCM paper☆96Updated last year
- Package for working with hypernetworks in PyTorch.☆123Updated last year
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆55Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 3 years ago
- ☆16Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- ☆32Updated 2 years ago
- Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)☆25Updated last year
- ☆61Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- [NeurIPS 2021] code for "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representation…☆16Updated 2 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆90Updated 4 years ago
- ☆50Updated 4 years ago
- ☆15Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Fi…☆28Updated 8 months ago
- ☆12Updated last year
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆25Updated last year
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆22Updated 2 years ago
- Code for the paper: Rotating Features for Object Discovery☆51Updated 8 months ago
- Using pre-trained Diffusion models as priors for inference tasks☆201Updated 2 years ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆55Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 6 months ago
- ☆12Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated last year
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆104Updated 3 years ago
- Deep Generative Learning via Schrödinger Bridge☆22Updated 3 years ago