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pandas-data-science-tasks

Set of real world data science tasks completed using the Python Pandas library

paper-list-on-imbalanced-time-series-classification-with-deep-learning

paperswithcode-data

The full dataset behind paperswithcode.com

parallel-programming-labs

MPI and OpenMP Examples

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

patterns-distributed-systems

A repository to document patterns for distributed system using simple implementations

paul-strassmann-papers

"Despite much talk about the cyber economy, information age, or the knowledge-based enterprise, as yet there are no generally accepted economic or financial principles to guide executives in spending money on computers." ― Paul A. Strassmann

pdblp

pandas wrapper for Bloomberg Open API

pdpbox

python partial dependence plot toolbox

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

penguindome

Simple Linux Mobile Device Management

pgcontents

A Postgres-backed ContentsManager implementation for Jupyter

photograbber

Download photos from Facebook

php-getting-started

Getting Started with PHP on Heroku

php-samples

PHP samples for G Suite products.

pip

The Python package installer

pipelinehelpers

pipenv

Python Development Workflow for Humans.

pistache

A high-performance REST Toolkit written in C++

plotly.py

The interactive graphing library for Python (includes Plotly Express) :sparkles:

pombola

The pa.org.za fork of Pombola - a parliamentary monitoring (PMO) platform

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.