ivallesp / simplestELMLinks
A very simple implementation of the Extreme Learning Machine Algorithm (Deep Learning implementation)
☆21Updated 7 years ago
Alternatives and similar repositories for simplestELM
Users that are interested in simplestELM are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Extreme Learning Machine☆21Updated 5 years ago
- Extreme Learning Machine implemented in Pytorch☆105Updated 7 years ago
- Simple code tutorial for deep belief network (DBN)☆46Updated 4 years ago
- A Numpy Implementation of Extreme Learning Machine (ELM)☆35Updated 6 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆32Updated 2 years ago
- A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)☆57Updated 6 years ago
- Demonstration of Particle Swarm Optimization as a training algorithm for Keras neural network models as a gradient-free training alternat…☆34Updated 6 years ago
- ☆11Updated 4 years ago
- Building and training artificial neural networks (regression or classification) using the genetic algorithm.☆255Updated last year
- Prediction google trace data using Functional Link Neural Network and Optimization Algorithms such as GA, PSO, ABC,...☆49Updated 4 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology☆17Updated 6 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆155Updated 6 years ago
- This repository contains example of keras-tcn on easy way.☆57Updated 5 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- Multi-task physics-informed neural networks☆25Updated 3 years ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆24Updated 6 years ago
- Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)☆60Updated last year
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Updated 5 years ago
- Extreme learning machine implemented by python3 with scikit-learn interface☆50Updated 6 years ago
- Radial Basis Function Neural Network implementation for Python☆92Updated 5 years ago
- ☆13Updated last year
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆81Updated 8 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆96Updated 2 years ago
- This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output…☆83Updated 3 years ago
- This repo was created for sharing academic notes and files☆13Updated 4 months ago
- Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neura…☆367Updated 8 years ago
- Extreme Learning Machine(ELM): Python code☆44Updated 7 years ago
- Multi-fidelity Gaussian Process☆29Updated 4 years ago
- Particle Swarm Optimizer For Neural Network Training☆58Updated 7 years ago