Alternatives and similar repositories for driverBehaviorDataset

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

• UdiBhaskar / Human-Activity-Recognition--Using-Deep-NN
  Human Activity Recognition Using Deep Learning
  ☆49Updated 5 years ago
• curiousily / TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMs
  iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
  ☆196Updated 4 years ago
• Eromera / uah_driveset_reader
  Reader tool for UAH-DriveSet
  ☆24Updated 4 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆107Updated 6 years ago
• LukeTonin / keras-seq-2-seq-signal-prediction
  An implementation of a sequence to sequence neural network using an encoder-decoder
  ☆210Updated 6 years ago
• takumiw / Deep-Learning-for-Human-Activity-Recognition
  Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
  ☆74Updated 2 years ago
• jiegzhan / time-series-forecasting-rnn-tensorflow
  Time series forecasting
  ☆79Updated 7 years ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆112Updated 2 years ago
• ni79ls / har-keras-cnn
  Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
  ☆165Updated 2 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆140Updated 6 years ago
• ZhouYuxuanYX / Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting
  Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras
  ☆55Updated 6 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 7 years ago
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆376Updated 7 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆519Updated 5 years ago
• opringle / multivariate_time_series_forecasting
  A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
  ☆64Updated 5 years ago
• ani8897 / Human-Activity-Recognition
  Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…
  ☆97Updated 8 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆204Updated 3 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆227Updated 4 years ago
• houshd / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆103Updated 6 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…
  ☆33Updated 8 years ago
• terryum / Data-Augmentation-For-Wearable-Sensor-Data
  A sample code of data augmentation methods for wearable sensor data (time-series data)
  ☆412Updated 5 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆29Updated 8 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆190Updated 8 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆179Updated 3 years ago
• tiagoCuervo / TensorANFIS
  A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)
  ☆97Updated 2 years ago
• aqibsaeed / Sensor-Transformer
  Transformer Network for Time-Series, Sensor and Wearable Data
  ☆27Updated 4 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• spdin / time-series-prediction-lstm-pytorch
  Time Series Prediction with LSTM Using PyTorch
  ☆216Updated 6 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 8 years ago
• Garima13a / Kalman-Filters
  Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time…
  ☆91Updated 4 years ago