haidark / WaveletDeconv
Neural network layer code to implement wavelet deconvolutions
☆33Updated 5 years ago
Related projects: ⓘ
- Learning optimal wavelet bases using a neural network approach in Pytorch☆19Updated 6 years ago
- Implementation of Wavelet Transform layer for denoising.☆22Updated 5 years ago
- Uncertainty Autoencoders, AISTATS 2019☆53Updated 5 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆52Updated last year
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. …☆12Updated 5 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆65Updated last year
- Online Robust Principal Component Analysis☆92Updated 4 years ago
- Repo containing code to do the learnable scatternet/invariant convolutional layer☆28Updated 4 years ago
- Multivariate Dictionary Learning Algorithm☆23Updated 8 months ago
- This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wa…☆52Updated 2 years ago
- Code for multichannel sparse blind deconvolution problem.☆11Updated 4 years ago
- Implementation of the paper "Online dictionary learning for sparse coding" (Mairal et al).☆15Updated 6 years ago
- Unsupervised Domain Adaptation for Time Series Classification☆24Updated 9 months ago
- Code for the paper "Tensorizing Generative Adversarial Nets"☆16Updated 6 years ago
- Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.☆11Updated 5 years ago
- Wavelet CNN, Texture Classification in Keras☆49Updated 2 years ago
- CRsAE (constrained recurrent sparse autoencoder)☆12Updated last year
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆48Updated 3 years ago
- Convolution dictionary learning for time-series☆119Updated 2 weeks ago
- Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" publis…☆18Updated 5 years ago
- Implementation of an invariant scattering convolution network☆14Updated 7 years ago
- S-ROCKET: SELECTIVE RANDOM CONVOLUTION KERNELS FOR TIME SERIES CLASSIFICATION☆12Updated last year
- research on convolutional neural networks in fourier space☆15Updated 7 years ago
- RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…☆20Updated 5 years ago
- Analysis and Improvement of Independent Subspace Analysis methods: MICA, FastISA☆17Updated 7 years ago
- PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificia…☆22Updated 3 years ago
- MINE estimation implemented with Tensorflow 2☆11Updated 5 years ago
- Python implementation of the GoDec algorithm from Zhou and Tao (ICML 2011) for low-rank and sparse representation☆32Updated 2 years ago
- DTWNet: a Dynamic Time Warping Network☆66Updated 4 years ago