btolooshams / crsae
CRsAE (constrained recurrent sparse autoencoder)
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for crsae
- An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328☆43Updated 2 years ago
- Official Implementation of Poisson2Sparse - MICCAI 2022☆14Updated 2 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…☆29Updated 6 years ago
- Repository to run the Tensor Convolutional Dictionary Learning with FISTA (TC-FISTA) algorithm☆12Updated 2 years ago
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆32Updated 3 years ago
- An implementation of the Holistic Pursuit for the Multi-Layer Sparse Coding model. Contains a comparison to the projection pursuit algori…☆18Updated 5 years ago
- Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…☆28Updated last year
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆71Updated 2 years ago
- Boosted Sparse and Low-Rank Tensor Regression☆12Updated 5 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆30Updated 3 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆12Updated 4 years ago
- ☆19Updated 4 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 3 years ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 3 years ago
- Mutual Information in Pytorch☆108Updated last year
- pytorch implementation of Hartley spectral pooling based on FFT☆15Updated 5 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 4 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆50Updated 3 years ago
- ☆14Updated 5 years ago
- PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificia…☆24Updated 3 years ago
- Patch2Self Denoising - NeurIPS 2020 Spotlight Presentation☆21Updated 2 years ago
- ☆17Updated 4 years ago
- Repo containing code to do the learnable scatternet/invariant convolutional layer☆29Updated 4 years ago
- Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper☆15Updated 2 years ago
- Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning☆25Updated 3 years ago
- An effective algorithm for training a quadratic network☆12Updated 2 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆9Updated 4 years ago
- Code for multichannel sparse blind deconvolution problem.☆11Updated 4 years ago
- [NeurIPS 2021] "Hyperparameter Tuning is All You Need for LISTA" by Xiaohan Chen, Jialin Liu, Zhangyang Wang and Wotao Yin☆22Updated 2 years ago