Alternatives and similar repositories for Human-behavior-recognition-system-based-on-WIFI-signal

Users that are interested in Human-behavior-recognition-system-based-on-WIFI-signal are comparing it to the libraries listed below

• Ming213 / CSI_Activity_Recognition_based-on-CLDNN
  We use CLDNN to do activity recognition using csi from wifi signals
  ☆10Updated 7 years ago
• lingjuanlv / LSTM-CNN-model-for-HAR
  LSTM-CNN model for Human Activity Recognition
  ☆23Updated 7 years ago
• linw7 / Activity-Recognition
  🚀 手机加速度传感器数据进行人体行为识别
  ☆70Updated 7 years ago
• rosenfeldamir / incremental_learning
  Initial Code for the paper "incremental learning through deep adaptation"
  ☆50Updated 6 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• rayush7 / Action_Recognition_Conv_BiLSTM_Attention
  ☆13Updated 3 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• lxchtan / NAIC_AI_Plus
  Code for 2020 AI plus wireless communication competition.
  ☆16Updated 4 years ago
• cinastanbean / Pytorch-Multi-Task-Multi-class-Classification
  旨在搭建一个分类问题在Pytorch框架下的通解，批量解决单任务多分类问题、多任务多分类问题。
  ☆56Updated 5 years ago
• JennyQQL / DeepClusterADMM-Release
  An implementation of DeepCluster optimized by ADMM.
  ☆24Updated 8 years ago
• LittleChenCc / Meta_LSTM
  The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18
  ☆33Updated 7 years ago
• yuhsinliu1993 / CNN_AUTOENCODER
  Use cnn autoencoder on mnist dataset
  ☆18Updated 8 years ago
• esansano / dl-for-har-comparison
  Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.
  ☆17Updated 2 years ago
• chncwang / laozhongyi
  Laozhongyi is an automatic hyperparameter tuning program based on grid search and simulated annealing.
  ☆51Updated 2 years ago
• windofshadow / THAT
  Code for AAAI paper "Two-Stream Convolution Augmented Transformer for Human Activity Recognition"
  ☆118Updated 4 years ago
• Spareman / Action-recognition-BagOfWords-Early-Late-Fusion
  Video classification using the UCF101 dataset for action recognition. We extract SIFT, MFCC and STIP features from the videos, we encode …
  ☆28Updated 4 years ago
• drewanye / har-joint-model
  AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
  ☆29Updated 7 years ago
• tploetz / LSTMEnsemble4HAR
  sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)
  ☆18Updated 6 years ago
• Hirokazu-Narui / LSTM_wifi_activity_recognition
  ☆24Updated 8 years ago
• zhangyaqi1989 / Ensemble-Methods-for-Image-Classification
  In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…
  ☆97Updated 6 years ago
• mrottmann / DeepBASS
  Deep Bayesian Active Semi-Supervised Learning
  ☆11Updated 7 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆136Updated 6 years ago
• nhammerla / deepHAR
  Code repository for experiments on deep architecture for HAR in ubicomp
  ☆24Updated 8 years ago
• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆48Updated 6 years ago
• ermongroup / Wifi_Activity_Recognition
  Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
  ☆283Updated 2 years ago
• yscacaca / HHAR-Data-Process
  Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…
  ☆29Updated 8 years ago
• koshian2 / Pseudo-Label-Keras
  Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras
  ☆37Updated 6 years ago
• mpuheim / PyOpenFCM
  Python Open Fuzzy Cognitive Maps Library (with Web API)
  ☆19Updated 6 years ago
• johnsmithm / multi-heads-attention-image-classification
  Multi heads attention for image classification
  ☆80Updated 7 years ago
• P1Analytics / Pseudo-Label-for-Deep-Neural-Networks
  Semi-Supervised Learning Method for Deep Neural Networks
  ☆28Updated 7 years ago