schesho / Scattering-Conv-Network
Implementation of an invariant scattering convolution network
☆14Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Scattering-Conv-Network
- Learning optimal wavelet bases using a neural network approach in Pytorch☆19Updated 6 years ago
- Semi-supervised Regression GAN☆37Updated 4 years ago
- It contains the code for the paper Deep Adaptive Wavelet Network☆65Updated 2 years ago
- Tensorflow implementation of "Deep sparse representation-based classification"☆44Updated 5 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 5 years ago
- Complex-valued Convolutional Neural Networks☆27Updated 4 years ago
- supervised deep sparse coding networks☆30Updated 7 years ago
- ☆51Updated 9 years ago
- This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)☆23Updated 7 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆68Updated 3 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆35Updated 6 years ago
- Convolution GRU cell in PyTorch☆53Updated 2 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆13Updated 3 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder:使用AE variant(de-noising / sparse / contractive AE)进行预训练,用BP 算法进行微调☆41Updated 8 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 5 years ago
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆18Updated last year
- CRsAE (constrained recurrent sparse autoencoder)☆14Updated last year
- An implementation by Pytorch☆24Updated 5 years ago
- Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection☆18Updated 4 years ago
- Code for multichannel sparse blind deconvolution problem.☆11Updated 4 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆54Updated 7 years ago
- Extreme Learning Machine implemented in Pytorch☆101Updated 6 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆123Updated last year
- ☆38Updated 6 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆63Updated 6 years ago
- improved by ACWGAN-gp☆10Updated 4 years ago
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆32Updated 3 years ago
- A MATLAB package for Shape-adaptive mode decomposition method proposed in "Decomposing non-stationary signals with time-varying wave-shap…☆11Updated 3 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆54Updated 2 years ago
- Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis☆10Updated 2 years ago