radu-dogaru / ELM-super-fast
Python implementation of ELM - with optimized speed on MKL-based platforms; Described in conference paper: Radu Dogaru, Ioana Dogaru, "Optimization of extreme learning machines for big data applications using Python", COMM-2018; Allows quantization of weight parameters in both layers and introduces a new and very effective hidden layer nonlinea…
☆8Updated 3 years ago
Alternatives and similar repositories for ELM-super-fast:
Users that are interested in ELM-super-fast are comparing it to the libraries listed below
- Relevance, Redundancy, and Complementarity Trade-off, a robust feature selection algorithm☆12Updated last year
- MICO: Mutual Information and Conic Optimization for feature selection☆17Updated 2 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 2 years ago
- Methods for generating synthetic minority data for multivariate temporal data to improve classification accuracy.☆14Updated 2 years ago
- This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.☆11Updated 2 years ago
- Extreme Learning Machine(ELM): Python code☆39Updated 6 years ago
- Extreme Learning Machine implemented in Pytorch☆101Updated 6 years ago
- Low precision random Fourier features for kernel approximation☆19Updated 5 years ago
- Machine learning's parameter search and feature selection module which is integrated log management and visualization.☆13Updated 5 years ago
- ☆13Updated last year
- This project provides Slow Feature Analysis as a scikit-learn-style package.☆39Updated last year
- Implementation of an online learning algorithm to do classification under concept drift☆23Updated 7 years ago
- Python code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Pap…☆15Updated last year
- Python implementation of AWarp algorithm☆14Updated 3 years ago
- A Clustering Based Classification Algorithm☆28Updated 3 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆154Updated 5 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14Updated 4 years ago
- density peak clustering algorithm implement by python sklearn manner☆43Updated 6 years ago
- List of awesome JAX resources☆13Updated 2 years ago
- Fast graph-regularized matrix factorization☆20Updated last year
- Library for Kernel Online Learning☆11Updated 7 years ago
- Assigns Elo Ratings to Python Global Optimizers☆22Updated 10 months ago
- Graph clustering and Node embeddings with word2vec☆13Updated 5 years ago
- Tensorflow implementation of 1D Generative Adversarial Network☆8Updated 6 years ago
- Autoencoder for multi-label classification using Google's Tensorflow framework and MDMR for feature selection.☆10Updated 7 years ago
- Multiple Kernel Least Squares Suport Vector Machine provide classification model.☆8Updated 7 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 4 years ago
- Evolving Directed Acyclic Graph☆30Updated 2 years ago
- A Numpy Implementation of Extreme Learning Machine (ELM)☆35Updated 5 years ago
- Random Forest model using Hellinger Distance as split criterion☆33Updated last year