aodonnell / GAN
Matlab implementation of a Generative Adversarial Network
☆22Updated 6 years ago
Alternatives and similar repositories for GAN:
Users that are interested in GAN are comparing it to the libraries listed below
- A implementation of GAN in matlab☆29Updated 5 years ago
- simple Generative Adversarial Networks base on matlab☆31Updated 5 years ago
- Regularized K-SVD Algorithm☆44Updated 7 years ago
- This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.☆17Updated 6 years ago
- 宽度学习 Broad Learning System MATLAB 代码 / 寬度學習Broad Learning System MATLAB代碼（1）：MNIST實踐☆15Updated 5 years ago
- Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)☆43Updated 7 years ago
- this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…☆80Updated 8 years ago
- a simple test for understanding the theory of GAN, [matlab code]☆12Updated 7 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☆42Updated 8 years ago
- Magnetic resonance imaging (MRI) images are known to be sparse. This is an implementation using non-convex penalty function that encourag…☆19Updated 5 years ago
- ☆17Updated 6 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆52Updated 6 years ago
- This is the Matlab code for the paper: "Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robu…☆12Updated 5 years ago
- A MATLAB toolbox for classifier: Version 1.0.7☆85Updated 2 years ago
- MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN☆193Updated last year
- Kernel Sparse Representation for Time Series Classification☆17Updated 10 years ago
- Matlab/Octave toolbox for nonconvex optimization☆49Updated 8 years ago
- Generalized Discriminant Analysis (GDA) - non-linear feature dimensionality reduction technique☆19Updated 8 years ago
- This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a …☆27Updated 6 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆43Updated 10 years ago
- Codes related to L1-norm minimization using homotopy☆36Updated 11 years ago
- Online Sparse Dictionary Learning Algorithm☆31Updated 6 years ago
- I implemented the fllowing article by Matlab.Refrence:Oh T H, Matsushita Y, Tai Y W, et al. Fast Randomized Singular Value Thresholding f…☆27Updated 6 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆72Updated 3 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆45Updated 8 years ago
- Deep Convolution Generative Adversarial Networks for Matconvnet Toolbox☆23Updated 6 years ago
- Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization☆24Updated 3 years ago
- Spike sorting implemented with principal component analysis (PCA) and density-based spatial clustering of applications with noise (DBSCAN…☆12Updated 5 years ago
- Comparative study of Prediction Models for Air Pollutant ( ANN, PCA-ANN, ANFIS, PCA-ANFIS )☆19Updated 7 years ago
- MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014☆16Updated 8 years ago