kurhula Goto Github PK

portainer

Making Docker and Kubernetes management easy.

postgres

Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see http://wiki.postgresql.org/wiki/Submitting_a_Patch

practical-mlops-book

[Book-2021] Practical MLOps O'Reilly Book

practical-web-scraping-for-data-science

Source code for 'Practical Web Scraping for Data Science' by Seppe vanden Broucke and Bart Baesens

practicaltimeseriesanalysis

Practical Time Series Analysis Book Repo

pragmaticai

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

pre-trained-models

Some ideas around pre-trained, or mostly trained, models

predict-remaining-useful-life

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

predicting-the-dow-jones-with-headlines

Used Keras to build a model (CNNs + LSTMs) to predict the opening price change of the Dow Jones.

predictive-maintenance

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)

predictive-maintenance-using-lstm

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

predictive-maintenance-using-machine-learning

Set up end-to-end demo architecture for predictive maintenance issues with Machine Learning using Amazon SageMaker

predictive-segmentation-using-amazon-pinpoint-and-amazon-sagemaker

This solution combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting customer churn using ML, and maintaining a tailored audience segment for messaging.

predictive-user-engagement

Predictive User Engagement is a turnkey solution that enables developers to quickly and easily add personalization to web and mobile applications, utilizing real-time usage data to personalize recommendations and notifications – all without having any machine learning expertise.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

projectalice

Main repository of Project Alice, contains main unit source code

prometheus

The Prometheus monitoring system and time series database.

prometheus-cpp

Prometheus Client Library for Modern C++

puppet-datawinner

Puppet scripts for datawinner

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

pyabc

distributed, likelihood-free inference

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydicom

Read, modify and write DICOM files with python code

pydoe2

Design of experiments for Python

pydrive

Google Drive API Python wrapper library

pyfolio

Portfolio and risk analytics in Python

pyfpdf

Simple PDF generation for Python (FPDF PHP port) [FORK]

pyft

A python API wrapper for the Financial Times API

pyheif

Python 3.6+ interface to libheif library

pyhsmm