7 Repositories
Python HAR Libraries
HAR-stacked-residual-bidir-LSTMs - Deep stacked residual bidirectional LSTMs for HAR
HAR-stacked-residual-bidir-LSTM The project is based on this repository which is presented as a tutorial. It consists of Human Activity Recognition (H
Base on browser-time to get har from network, and use python to analyze the data .
base on browser-time to get har from network, and use python to analyze the data
Download images where login is required using har python and js
이미지 다운로드(har, python, js 사용) 로그인이 필요한 사이트에서 DevTools로 이미지를 다운받는 방법은 조금 까다로웠다. 가장 쉽게 할 수 있는 방법을 찾아보았다. 사용법 F12를 눌러 DevTools를 실행 Network 탭으로 이동 페이지 새로고침
Shallow Convolutional Neural Networks for Human Activity Recognition using Wearable Sensors
-IEEE-TIM-2021-1-Shallow-CNN-for-HAR [IEEE TIM 2021-1] Shallow Convolutional Neural Networks for Human Activity Recognition using Wearable Sensors All
[ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma
Simple utlity for sniffing decrypted HTTP/HTTPS traffic on a jailbroken iOS device into an HAR format.
Description iOS devices contain a hidden feature for sniffing decrypted HTTP/HTTPS traffic from all processes using the CFNetwork framework into an HA
One-stop solution for HTTP(S) testing.
HttpRunner HttpRunner is a simple & elegant, yet powerful HTTP(S) testing framework. Enjoy! ✨ 🚀 ✨ Design Philosophy Convention over configuration ROI