akusok / hpelm
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
☆196Updated last month
Alternatives and similar repositories for hpelm:
Users that are interested in hpelm are comparing it to the libraries listed below
- Extreme Learning Machine implementation in Python☆547Updated 4 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆93Updated 3 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆234Updated 7 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 6 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆155Updated 5 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- optimization routines for hyperparameter tuning☆418Updated last year
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆297Updated 11 months ago
- Scientific time series and deep learning state of the art☆281Updated 4 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- minepy - Maximal Information-based Nonparametric Exploration☆221Updated 9 months ago
- One-Class SVM implementations for temporal segmentation of human activities☆54Updated 11 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆154Updated 2 years ago
- Parallelized Mutual Information based Feature Selection module.☆286Updated 3 years ago
- a feature engineering wrapper for sklearn☆51Updated 4 years ago
- Lynx Matlab Toolbox☆23Updated 8 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 10 years ago
- Convolutional Neural Network based regression approach for estimating machinery's remaining useful life☆136Updated 5 years ago
- Singular Spectrum Analysis for time series forecasting in Python☆144Updated 4 years ago
- ☆89Updated 6 years ago
- Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance…☆15Updated 7 years ago
- A deep learning tool for time series classification and regression☆364Updated 6 months ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 7 years ago
- Deep learning for time-series data☆49Updated 2 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 2 years ago
- Python bindings to interesting matlab libraries for data analysis☆86Updated 8 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆106Updated 6 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆459Updated last year