PetraVidnerova / rbf_keras
RBF layer for Keras
☆144Updated last year
Alternatives and similar repositories for rbf_keras:
Users that are interested in rbf_keras are comparing it to the libraries listed below
- RBF Layer for tf.keras using Tensorflow 2.0 (work in progress!)☆47Updated 5 years ago
- Radial Basis Function Neural Network implementation for Python☆84Updated 5 years ago
- Minimal implementation of a radial basis function network.☆75Updated 5 years ago
- A python multi-variate time series prediction library working with sklearn☆94Updated 4 years ago
- PSO algorithm for multi-parameters optimizaiton☆66Updated 6 years ago
- RBF(Radial Basis Function) Neural Network Implementation in Python☆48Updated 7 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆30Updated last year
- ☆10Updated 6 years ago
- MSVR (Multiple-output Support Vector Regression) python module☆52Updated 5 years ago
- QRNN (Quantile Regression Neural Network) Keras version☆24Updated 4 years ago
- PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.☆42Updated 8 years ago
- Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers☆16Updated 6 years ago
- BPNN, SVC, SVR, CART, GSOM, LOF, K_MEANS, GRNN, LR, MLR☆20Updated 7 years ago
- Group users by temporal power consumption using k-means algorithm with adjusted measurement of distance, dynamic time warping(DTW)☆24Updated 6 years ago
- graduation design DBN + SVM☆36Updated 6 years ago
- Particle swarm optimization (PSO) that supports constraints☆324Updated 6 years ago
- Multivariate time series clustering using Dynamic Time Warping (DTW) and k-mediods algorithm☆37Updated 7 years ago
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆38Updated 6 years ago
- Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM☆11Updated 4 years ago
- Confidence and prediction intervals for feedforward NNs and RNNs☆27Updated 6 years ago
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆4Updated 5 years ago
- GA_python for multi-parameters optimization☆27Updated 6 years ago
- Comparison study of GB, XGB, LGBM and NN's performance in probabilistic load forecasting☆25Updated 5 years ago
- Learn about particle swarm optimization (PSO) through Python!☆272Updated 4 years ago
- Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …☆76Updated 3 years ago
- A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)☆55Updated 5 years ago
- Genetic Algorithm Particle Swarm Optimization Implemented in Python☆14Updated 6 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 4 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆93Updated 3 years ago
- A Keras library for multi-step time-series forecasting.☆179Updated last year