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:
- Extreme Learning Machine implemented in Pytorch☆106Updated 7 years ago
- ☆89Updated 7 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆61Updated 14 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Local Receptive Fields Based Extreme Learning Machine☆33Updated 10 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 8 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- A Matlab implementation of the capsule networks (or capsnet).☆48Updated 8 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆150Updated 6 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Multi channel deep convolutional neural network for time series classification☆55Updated 9 years ago
- Wasserstein / earth mover's distance visualizations☆66Updated 8 years ago
- Mutual Information functions for C and MATLAB☆144Updated 7 years ago
- Semi-supervised Learning GAN☆82Updated 8 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆120Updated 5 years ago
- The sample code to study non-negative matrix and tensor factorization.☆38Updated 5 years ago
- In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual depen…☆80Updated 13 years ago
- Active learning toolbox for MATLAB☆46Updated 8 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆75Updated 14 years ago
- A Convolutional Neural Network based model for Unsupervised Learning☆33Updated 8 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- ☆61Updated 8 years ago
- Sparse Representation-based Classification, a classified algorithm in Pattern Recognition area☆18Updated 11 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
- Auto Encoders in PyTorch☆63Updated 8 years ago
- Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…☆70Updated 7 years ago
- A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.☆69Updated 7 years ago
- model uncertainty using mc dropout☆20Updated 6 years ago
- Multi-task learning via Structural Regularization☆136Updated 4 years ago