kathy-ling's repositories
activityrecognition
Resources about activity recognition-行为识别资料
ActRecTut
MATLAB Human Activity Recognition Toolbox
Cachet
📛 An open source status page system for everyone.
DataforExercise
A variety of data or data sets used in daily learning
Deep-learning-activity-recognition
A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
Interview-Notebook
:bulb: 准备秋招学习笔记
LSTM-CNN-model-for-HAR
LSTM-CNN model for Human Activity Recognition
LSTM-FCN
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
MySensorDataColletctor
collect sensor data from android
note-of-interview
《互联网面试笔记》收集和分析互联网常见面试题，并将这些面试知识整理成文方便大家查阅。主要是面向java程序员，但基础知识部分不同语言程序员(c,c++,python等）都可以参考。---持续更新中, 欢迎编辑~
nupic
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Paper_Read-Collate
about papers that I have read.
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
sensordatacollector
Android Sensor Data Collector:
Skill-Tree
🐼 准备秋招，欢迎来树上取果实
Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
Using-neural-network-for-HAR
Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)