lucasrodes / kPCA-denoising-python
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
☆15Updated 7 years ago
Alternatives and similar repositories for kPCA-denoising-python:
Users that are interested in kPCA-denoising-python are comparing it to the libraries listed below
- An implementation of SVM+☆26Updated 8 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆196Updated last week
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 6 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 4 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 6 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
- GPU accelerated Deep Belief Network☆46Updated 9 years ago
- Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)☆43Updated 7 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆35Updated 3 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599☆64Updated 4 years ago
- Pattern Recognition Toolbox for MATLAB☆146Updated 5 years ago
- Keras autoencoders (convolutional/fcc) [proof of concept]☆174Updated 5 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆155Updated 7 years ago
- this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…☆79Updated 8 years ago
- Scikit-learn compatible Locality Preserving Projections in Python☆92Updated 6 years ago
- Matlab codes for 2D Convolutional Neural Network☆48Updated 9 years ago
- A CNN practical focusing on image to image regression☆28Updated 8 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆73Updated 13 years ago
- Collection of autoencoders written in Keras☆37Updated 8 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Continuous wavelet transform (CWT) in tensorflow☆55Updated 5 years ago
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆119Updated 5 years ago
- Classification uncertainty using Bayesian neural networks☆33Updated 8 years ago
- Different deep learning architectures are implemented for time series classification and prediction purposes.☆20Updated 5 years ago
- Semi supervised GAN implementation☆12Updated 7 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆149Updated 5 years ago
- code and data for the paper `Kernel Manifold Alignment for domain adaptation'☆19Updated 9 years ago
- A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning☆12Updated 7 years ago