Alternatives and similar repositories for Keras_BayesianOptimization

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

• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆57Updated 4 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 years ago
• xadrianzetx / temporal-conv-net-keras
  TCN architecture for time series
  ☆24Updated 6 years ago
• Legendnic / GA-CNN
  In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network
  ☆43Updated 6 years ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated last year
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆54Updated 6 years ago
• otenim / Numpy-ELM
  A Numpy Implementation of Extreme Learning Machine (ELM)
  ☆35Updated 6 years ago
• MagaliDrumare / How-to-learn-PyTorch-NN-CNN-RNN-LSTM
  ☆32Updated 7 years ago
• chickenbestlover / ELM-pytorch
  Extreme Learning Machine implemented in Pytorch
  ☆103Updated 7 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 3 years ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆47Updated 2 years ago
• ralasun / tensorflow-resnet-1d
  tensorflow 1-d resnet with fMRI volume data @ deep-learning-theory-course at KoreaUniv
  ☆14Updated 7 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 6 years ago
• manohar029 / TimeSeries-Seq2Seq-deepLSTMs-Keras
  This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…
  ☆42Updated 6 years ago
• ashishpatel26 / PSO-TF2
  PSO On neural Network and LSTM
  ☆19Updated 4 years ago
• Wizaron / deep-forecast-pytorch
  Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)
  ☆188Updated 7 years ago
• abdullahf / lstm-kalman-hybrid-timeseries
  Hybrid Time Series using LSTM and Kalman Filtering
  ☆44Updated 2 years ago
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆100Updated 6 years ago
• uchihashikenshi / attention_time
  Python implementation of a time-series model with (optional) attention where the encoder is CNN, decoder is LSTM, and more.
  ☆22Updated 9 years ago
• haidark / WaveletDeconv
  Neural network layer code to implement wavelet deconvolutions
  ☆35Updated 5 years ago
• SonbolYb / multivariate_timeseries_dilated_conv
  Multivariate Time Series Classification using Dilated Convolutional Neural Network
  ☆11Updated 6 years ago
• mnf2014 / article_fft_wavelet_ecg
  article feature extraction time series
  ☆42Updated 5 years ago
• ardamavi / Unsupervised-Classification-with-Autoencoder
  Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.
  ☆47Updated 7 years ago
• carloschavez9 / ensemble-time-series
  Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…
  ☆34Updated 8 years ago
• waylongo / Gans-for-anomaly-detection
  Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data
  ☆13Updated 6 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• rakibhhridoy / AnomalyDetectionInTimeSeriesData-Keras
  Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection…
  ☆17Updated 5 years ago
• Simeonedef / Time-Series_Imaging_Forecasting
  In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has rev…
  ☆17Updated 2 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆49Updated 2 years ago