yubeic / Sparse-CodingLinks
This code implements sparse coding in PyTorch with GPU support.
☆30Updated 4 years ago
Alternatives and similar repositories for Sparse-Coding
Users that are interested in Sparse-Coding are comparing it to the libraries listed below
Sorting:
- Modular and intuitive Hypernetworks in Pytorch☆37Updated last year
- Mutual Information in Pytorch☆112Updated last year
- ☆32Updated 2 years ago
- Package for working with hypernetworks in PyTorch.☆128Updated last year
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆20Updated last year
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 5 months ago
- Multimodal Mixture-of-Experts VAE☆212Updated 2 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆54Updated 2 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated 2 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆206Updated last year
- [NeurIPS'24 Oral] Official repository for the paper "Scale Equivariant Graph Metanetworks"☆21Updated 7 months ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 4 years ago
- ☆40Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- 1D Wasserstein Statistical Loss in Pytorch☆28Updated 5 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated 11 months ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 3 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆63Updated 2 years ago
- ☆32Updated 5 years ago
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- A fully invertible U-Net for memory efficiency in Pytorch.☆127Updated 3 years ago
- Code for Diff-SCM paper☆97Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- Papers and Codes for the deep learning in hyperbolic space☆177Updated 2 years ago
- ☆17Updated 3 years ago
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆52Updated 11 months ago