schesho / Scattering-Conv-Network
Implementation of an invariant scattering convolution network
☆15Updated 7 years ago
Alternatives and similar repositories for Scattering-Conv-Network:
Users that are interested in Scattering-Conv-Network are comparing it to the libraries listed below
- Learning optimal wavelet bases using a neural network approach in Pytorch☆21Updated 6 years ago
- supervised deep sparse coding networks☆31Updated 7 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 5 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 6 years ago
- Source codes for paper "Hierarchical hyper-Laplacian prior for weak fault feature enhancement"☆9Updated 4 years ago
- Neural network layer code to implement wavelet deconvolutions☆34Updated 5 years ago
- ☆39Updated 6 years ago
- The source codes for the paper "Fast l1-l2 minimization via a proximal operator”☆24Updated 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
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆63Updated 6 years ago
- Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).☆30Updated 4 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated last year
- Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection☆18Updated 4 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆33Updated 3 years ago
- The code for NISTA_Net☆10Updated last year
- CRsAE (constrained recurrent sparse autoencoder)☆14Updated last year
- This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)☆23Updated 8 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 6 years ago
- PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificia…☆25Updated 3 years ago
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆71Updated 5 years ago
- Extreme Learning Machine implemented in Pytorch☆101Updated 6 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆58Updated 2 years ago
- This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an …☆15Updated 5 years ago
- Pytorch implementations of various types of autoencoders☆67Updated 6 years ago
- Semi-supervised Regression GAN☆38Updated 4 years ago
- GAN+VAE hybrid experiments☆10Updated 6 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆48Updated 3 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆9Updated 4 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆20Updated 5 years ago