Development environment for k8s.
Using the spark-operator image to ensure it will be the same environment.
docker-compose up -d
docker cp jars/. spark:/opt/spark/jars
alias spark-s="docker exec -it spark /opt/spark/bin/spark-submit"
spark-s app_3.py
docker-compose down
Machine Learning Conference & Summer School Notes. 🦄📝🎉
Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b
Tools Автоматический установщик хакерских утилит (ТОЛЬКО ДЛЯ ТЕРМУКС!) Оригиналь
timemachines Autonomous, univariate, k-step ahead time-series forecasting functions assigned Elo ratings You can: Use some of the functionality of a s
ml4h is a toolkit for machine learning on clinical data of all kinds including genetics, labs, imaging, clinical notes, and more
SGD-Linear-Regressor Iterative stochastic gradient descent (SGD) linear regressor with regularization Dataset: Kaggle “Graduate Admission 2” https://w
Machine Learning Videos This is a collection of recorded talks at machine learning conferences, workshops, seminars, summer schools, and miscellaneous
changepy Changepoint detection in time series in pure python Install pip install changepy Examples from changepy import pelt from cha
Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o
Simple-Classifier This is a basic example of how to use several different libraries for classification and ensembling, mostly with sklearn. Example as
Simple logging of statistics, model checkpoints, plots and other objects for your Machine Learning Experiments (MLE). Furthermore, the MLELogger comes with smooth multi-seed result aggregation and co
The kalman filter framework described here is an incredibly powerful tool for any optimization problem, but particularly for visual odometry, sensor fusion localization or SLAM.
A data preprocessing package for time series data. Design for machine learning and deep learning.
=================================================== Nitime: timeseries analysis for neuroscience data ===============================================
Categorical Encoding Methods A set of scikit-learn-style transformers for encoding categorical variables into numeric by means of different techniques
CobraML: Completely Customizable What is it? CobraML is a python library built on both numpy and numba. Unlike other ML libraries CobraML gives the us
Time Series Made Easy in Python darts is a python library for easy manipulation and forecasting of time series. It contains a variety of models, from
CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c
Katana project is a FastAPI template for ASAP 🚀 ML API deployment
About scikit-learn is a python module for machine learning built on top of numpy / scipy. The purpose of the scikit-learn-tutorial subproject is to le
558 Dec 28, 2022
1 Jan 19, 2022
14 Jan 05, 2023
343 Jan 04, 2023
65 Dec 20, 2022
1 Oct 29, 2021
1.5k Dec 29, 2022
92 Nov 08, 2022
648 Dec 16, 2022
2 Aug 25, 2022
65 Dec 08, 2022
276 Jan 01, 2023
152 Jan 07, 2023
212 Dec 09, 2022
2.1k Jan 07, 2023
14 Dec 19, 2021
5.2k Jan 04, 2023
1 Feb 02, 2022
100 Dec 26, 2022
122 Dec 12, 2022