ExtremeLearningMachines / ELM-LRFLinks
Local Receptive Fields Based Extreme Learning Machine
☆32Updated 9 years ago
Alternatives and similar repositories for ELM-LRF
Users that are interested in ELM-LRF are comparing it to the libraries listed below
Sorting:
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 12 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- ☆89Updated 7 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆199Updated 7 months ago
- Multi channel deep convolutional neural network for time series classification☆55Updated 9 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- GPU accelerated Deep Belief Network☆47Updated 10 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆149Updated 10 years ago
- Active learning toolbox for MATLAB☆46Updated 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
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆36Updated 4 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 10 years ago
- Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle☆97Updated 8 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆75Updated 13 years ago
- Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…☆36Updated 9 years ago
- This repository is a reproduction of the clockwork RNN paper.☆20Updated 8 years ago
- Use CNN to classify time series data for activity recognition☆26Updated 9 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- ☆76Updated 9 years ago
- Matlab codes for 2D Convolutional Neural Network☆49Updated 10 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 11 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Deep Learning Toolbox in Matlab☆13Updated 7 years ago
- Vectorized multimodal LSTM using Matlab and GPU☆32Updated 9 years ago