Alternatives and similar repositories for rbf_keras

Users that are interested in rbf_keras are comparing it to the libraries listed below

• eugeniashurko / rbfnnpy
  Radial Basis Function Neural Network implementation for Python
  ☆91Updated 5 years ago
• PetraVidnerova / rbf_for_tf2
  RBF Layer for tf.keras using Tensorflow 2.0 (work in progress!)
  ☆47Updated 5 years ago
• federhub / pyGRNN
  Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …
  ☆76Updated 4 years ago
• awerries / online-svr
  Implementation of Accurate Online Support Vector Regression in Python.
  ☆86Updated 6 years ago
• amineremache / qbso-fs
  Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
  ☆60Updated 5 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆94Updated 4 years ago
• JiaruiFeng / Portfolio-Optimization-Using-NSGA2-with-Python
  Solve portfolio optimization problems using NSGA2 algorithm
  ☆36Updated 6 years ago
• zealberth / lssvr
  Least Squares Support Vector Regression
  ☆58Updated 4 years ago
• ahmedfgad / NeuralGenetic
  Building and training artificial neural networks (regression or classification) using the genetic algorithm.
  ☆252Updated last year
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 7 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆25Updated 4 years ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆112Updated 2 years ago
• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆46Updated 4 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• numancelik34 / TimeSeries-GAN
  Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.
  ☆114Updated 5 years ago
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆156Updated 7 years ago
• chickenbestlover / Online-Recurrent-Extreme-Learning-Machine
  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
  ☆154Updated 6 years ago
• shiluqiang / PSO_python
  PSO algorithm for multi-parameters optimizaiton
  ☆66Updated 6 years ago
• nealjean / coreg
  Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
  ☆60Updated 6 years ago
• kkg1999 / MetaheuristicOptimization
  Different meta-heuristic optimization techniques for feature selection
  ☆42Updated 5 years ago
• 7ossam81 / EvoloPy
  EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
  ☆483Updated 5 months ago
• aqibsaeed / Genetic-Algorithm-RNN
  Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
  ☆81Updated 8 years ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆128Updated 4 years ago
• thieu1995 / metaheuristics
  Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)
  ☆291Updated 2 years ago
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆117Updated 4 years ago
• RamanSinghca / PSO-Based-SVR
  PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.
  ☆42Updated 9 years ago
• kuhess / pso-ann
  Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)
  ☆60Updated last year
• raemonx / PSO-FS
  Wrapper Based feature selection using Particle Swarm Optimization
  ☆12Updated 6 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆120Updated 6 years ago