Kyle's repositories
awesome_time_series_in_python
This curated list contains python packages for time series analysis
google-cloud-python
Google Cloud Client Library for Python
kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
kyle-school
쏘카 데이터 그룹 사내 신입/인턴을 대상으로 한 카일 스쿨
pipelines
Machine Learning Pipelines for Kubeflow
RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
Supply-demand-forecasting
supply demmand gap prediction for ride-hailing
tfx
TFX is an end-to-end platform for deploying production ML pipelines
time-series-classification-and-clustering
Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside
time-series-machine-learning
Machine learning models for time series analysis
TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
voila
Voilà turns Jupyter notebooks into standalone web applications