iwyoo / OSELM-tensorflowLinks
Online Sequential Extreme Learning Machine with TensorFlow
☆33Updated 9 years ago
Alternatives and similar repositories for OSELM-tensorflow
Users that are interested in OSELM-tensorflow are comparing it to the libraries listed below
Sorting:
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- Extreme Learning Machine implemented in Pytorch☆103Updated 7 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆75Updated 13 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆198Updated 7 months ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Multi channel deep convolutional neural network for time series classification☆55Updated 9 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆146Updated 7 years ago
- Local Receptive Fields Based Extreme Learning Machine☆32Updated 9 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆150Updated 6 years ago
- ☆89Updated 7 years ago
- Semi-supervised Learning GAN☆81Updated 7 years ago
- A Matlab implementation of the capsule networks (or capsnet).☆48Updated 7 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆149Updated 10 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- CNN architecture exploration using Genetic Algorithm☆222Updated 3 years ago
- Stacked Denoising AutoEncoder based on TensorFlow☆23Updated 6 years ago
- Python 3.6+ (only)☆113Updated 6 years ago
- Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy…☆61Updated 6 years ago
- Generative Adversarial Nets for Matlab☆36Updated 8 years ago
- A Convolutional Neural Network based model for Unsupervised Learning☆33Updated 8 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 8 years ago
- ☆102Updated 7 years ago
- Implementation of IndRNN in Keras☆67Updated 5 years ago
- Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano☆32Updated 8 years ago
- Vectorized multimodal LSTM using Matlab and GPU☆32Updated 9 years ago
- TensorFlow Deep CNN for Tiny ImageNet Problem☆58Updated 8 years ago
- A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.☆69Updated 6 years ago