Alternatives and similar repositories for rbf_keras

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

• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆47Updated 4 years ago
• eugeniashurko / rbfnnpy
  Radial Basis Function Neural Network implementation for Python
  ☆89Updated 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
• chickenbestlover / Online-Recurrent-Extreme-Learning-Machine
  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
  ☆153Updated 6 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆184Updated 2 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆176Updated 3 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 7 years ago
• nathanhubens / Autoencoders
  Implementation of simple autoencoders networks with Keras
  ☆242Updated 4 years ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆127Updated 4 years ago
• mohaseeb / shaplets-python
  Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient des…
  ☆222Updated 5 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆109Updated 2 years ago
• oneday88 / deepTCN
  ☆158Updated 3 years ago
• LukeTonin / keras-seq-2-seq-signal-prediction
  An implementation of a sequence to sequence neural network using an encoder-decoder
  ☆209Updated 5 years ago
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆145Updated 4 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆93Updated 4 years ago
• shiluqiang / PSO_python
  PSO algorithm for multi-parameters optimizaiton
  ☆65Updated 6 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 5 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆211Updated 2 years ago
• JiaruiFeng / Portfolio-Optimization-Using-NSGA2-with-Python
  Solve portfolio optimization problems using NSGA2 algorithm
  ☆36Updated 6 years ago
• masaponto / Python-ELM
  Extreme learning machine implemented by python3 with scikit-learn interface
  ☆48Updated 5 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆98Updated 2 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆78Updated 5 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆74Updated 3 years ago
• Critical-Infrastructure-Systems-Lab / Multi-objective-feature-selection
  MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets
  ☆30Updated 2 years ago
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆153Updated 6 years ago