krypty / trefleLinks
Trefle is a scikit-learn compatible estimator implementing the FuzzyCoCo algorithm that uses a cooperative coevolution algorithm to find and build interpretable fuzzy systems.
☆13Updated 7 years ago
Alternatives and similar repositories for trefle
Users that are interested in trefle are comparing it to the libraries listed below
Sorting:
- A library of fuzzy rough machine learning algorithms☆30Updated 5 months ago
- Hyperparameter tuning for machine learning models using a distributed genetic algorithm☆91Updated last year
- Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend☆48Updated 7 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆56Updated 7 years ago
- Play around with NGBoost and compare with LightGBM and XGBoost☆20Updated last year
- Multi-objective evolutionary algorithms for feature selection☆10Updated 4 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆27Updated 8 years ago
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆81Updated 8 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 4 years ago
- WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series☆72Updated 5 years ago
- A Python library of biclustering algorithms, evaluation measures and datasets.☆54Updated 5 years ago
- Implementing Genetic Algorithm on K-Means and compare with K-Means++☆64Updated last year
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 4 years ago
- Python 3.6+ (only)☆114Updated 6 years ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 8 years ago
- MICO: Mutual Information and Conic Optimization for feature selection☆17Updated 3 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆33Updated 8 years ago
- Multivariate Adaptive Regression Splines for Time Series Prediction☆18Updated 2 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago
- Financial time series forecast using dual attention RNN☆27Updated 7 years ago
- A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.☆70Updated 8 years ago
- Autoencoder model for rare event classification☆104Updated 6 years ago
- Fuzzy machine learning algorithms implementing the scikit-learn interface.☆78Updated 3 weeks ago
- A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.☆17Updated 6 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆192Updated 4 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆45Updated 7 years ago
- LSTM for time series forecasting☆28Updated 8 years ago
- ☆74Updated 7 years ago
- ☆37Updated 5 years ago
- Forecasting for Istanbul Stock Exchange with ANFIS and SVM based on Genetic and Ant Colony Algorithm for Parameter Optimization☆16Updated last month