acba / elm
Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
☆94Updated 3 years ago
Alternatives and similar repositories for elm:
Users that are interested in elm are comparing it to the libraries listed below
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆155Updated 5 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆196Updated 2 months ago
- Extreme learning machine implemented by python3 with scikit-learn interface☆48Updated 5 years ago
- Extreme Learning Machine implemented in Pytorch☆103Updated 7 years ago
- A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)☆56Updated 5 years ago
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆79Updated 7 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- Online Sequential Extreme Learning Machine with TensorFlow☆33Updated 8 years ago
- Implementation and test of CFS☆28Updated 5 years ago
- DBN for Regression Problem using Theano, NumPy, and Scikit-learn☆24Updated 8 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆29Updated 6 years ago
- Implementation of Accurate Online Support Vector Regression in Python.☆86Updated 5 years ago
- Matlab implementation of Extreme Learning Machine and variants☆32Updated 6 years ago
- This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.☆99Updated 6 years ago
- A traffic flow prediction model based on Scikit and Keras. The model contains a DBN and a NN.☆16Updated 6 years ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago
- Radial Basis Function Neural Network implementation for Python