kevtimova / deep-sparseLinks
We introduce a way to extend sparse dictionary learning to deep architectures.
☆16Updated 3 years ago
Alternatives and similar repositories for deep-sparse
Users that are interested in deep-sparse are comparing it to the libraries listed below
Sorting:
- Mutual Information in Pytorch☆114Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated 2 years ago
- ☆32Updated 3 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Updated 3 years ago
- This repository is the official implementation of: Experimental design for MRI by greedy policy search (NeurIPS, 2020).☆23Updated 3 years ago
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆19Updated 3 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆48Updated 5 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- ☆42Updated 5 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- ☆19Updated 5 years ago
- Contrastive Variational Autoencoders☆71Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- Implementation of LDMnet in pytorch☆22Updated 7 years ago
- [NeurIPS 2021] code for "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representation…☆17Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328☆42Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Demo for Multi-Layer ISTA and Multi-Layer FISTA algorithms for convolutional neural networks, as described in J. Sulam, A. Aberdam, A. Be…☆30Updated 7 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- counterfactuals for magnetic resonance images of multiple sclerosis☆26Updated 4 years ago