doreenguo Goto Github PK

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

cl-har

cmc

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

cnn-for-har-on-wisdm-dataset

CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)

contrastivelearninghar

Contrastive Learning (SimCLR) for Human Activity Recognition

cosmo

Repo for MobiCom 2022 paper: " Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition ".

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cross-person-har

Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".

css

csshar_tfa

Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition

data-augmentation-for-wearable-sensor-data

A sample code of data augmentation methods for wearable sensor data (time-series data)

dl-for-har

Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

gaitmonitoringforparkinsonsdiseasepatients

To monitor gait patterns to detect freezing of gait. Done as part of the Singapore Science Mentorship Programme + CS4131 module + extended.

har-federated-transfer-learning-in-pytorch

This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

html

human-activity-recognition

Baseline Classifiers for the Human Activity Recognition with Mobile Sensors Project

iswc22-har

javascript

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning-deep-learning-notes

机器学习、深度学习的学习路径及知识总结

machine-learning-homework

Matlab Coding homework for Machine Learning

ml-homework

吴恩达机器学习作业

plotneuralnet

Latex code for making neural networks diagrams

self-attention-har

[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"

semipfl

SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence

shap

A game theoretic approach to explain the output of any machine learning model.

tensorflow-1-public