Alternatives and similar repositories for deep-learning-HAR

Users that are interested in deep-learning-HAR are comparing it to the libraries listed below

• guillaume-chevalier / HAR-stacked-residual-bidir-LSTMs
  Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …
  ☆318Updated 2 years ago
• STRCWearlab / DeepConvLSTM
  Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
  ☆281Updated 7 years ago
• RobRomijnders / LSTM_tsc
  An LSTM for time-series classification
  ☆415Updated 7 years ago
• ni79ls / har-keras-cnn
  Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
  ☆161Updated 2 years ago
• aqibsaeed / Multilabel-timeseries-classification-with-LSTM
  Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
  ☆574Updated 8 years ago
• hzy46 / TensorFlow-Time-Series-Examples
  Time Series Prediction with tf.contrib.timeseries
  ☆477Updated 7 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆380Updated 6 years ago
• lucasjinreal / LSTM_learn
  a implement of LSTM using Keras for time series prediction regression problem
  ☆224Updated 8 years ago
• titu1994 / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆791Updated 6 years ago
• polyaxon / haupt
  Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
  ☆452Updated 2 weeks ago
• CasiaFan / time_seires_prediction_using_lstm
  Time series prediction using LSTM classifier
  ☆284Updated 8 years ago
• cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
  Fully Convlutional Neural Networks for state-of-the-art time series classification
  ☆707Updated 6 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago
• buriburisuri / timeseries_gan
  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
  ☆298Updated last year
• RobRomijnders / CNN_tsc
  A CNN for time-series classification
  ☆156Updated 8 years ago
• bhimmetoglu / time-series-medicine
  Code and documentation for seizure prediction from EEG data
  ☆57Updated 7 years ago
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆376Updated 7 years ago
• alexminnaar / time-series-classification-and-clustering
  Time series classification and clustering code written in Python.
  ☆798Updated 4 years ago
• markdregan / K-Nearest-Neighbors-with-Dynamic-Time-Warping
  Python implementation of KNN and DTW classification algorithm
  ☆786Updated 6 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆512Updated 5 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• guillaume-chevalier / seq2seq-signal-prediction
  Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
  ☆1,086Updated 2 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 8 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆183Updated 8 years ago
• yscacaca / DeepSense
  Deepsense: a unified deep learning framework for time-series mobile sensing data processing.
  ☆198Updated 5 years ago
• zonghua94 / mnist
  mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
  ☆108Updated 8 years ago
• dlmacedo / SVM-CNN
  A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…
  ☆71Updated 2 years ago
• neelabhpant / Deep-Learning-in-Python
  Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
  ☆389Updated 5 years ago
• loliverhennigh / Convolutional-LSTM-in-Tensorflow
  An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
  ☆419Updated 8 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago