lazycrazyowl Goto Github PK

perfume

Interactive performance benchmarking in Jupyter

personannotator

UIMA annotator to annotate Person entities, based on Apache OpenNLP

personcoreferenceannotator

A UIMA Annotator (including type system) which annotates sentences, tokens, Person named entities and coreference resolution "mentions". Dev uses OpenNLP coreference and named entity recognition tools, within an apache UIMA Annotator analysis engine.

pfontology

Public Finance Ontology

phd_workshops

2017 QuantEcon PhD Workshops on Computational Economics

phoenix

Mirror of Apache Phoenix

photon-ml

A scalable machine learning library on Apache Spark

pi-hole

A black hole for Internet advertisements

pid

pigeditor

Eclipse plugin for Apache Pig

pixiedust

Python Helper library for Jupyter Notebooks

playground

Play with neural networks!

plotly.py

An interactive, browser-based graphing library for Python :sparkles:

pmse

Poor Man's SPARQL Endpoint. When you just need to have a CORS-enabled SPARQL endpoint for small RDF files

policies

Please use for issues related to policies, including suggested changes

polished_notebooks

Jupyter notebook presentations with optional code visibility and no ugly elements

politwoopsr

Extract deleted tweet & politician data from the Politwoops project

portfolio-analysis-model

Documentation behind the model used to analyse Portfolios in Simply Wall St

portfolio_optimization

Optimization of share allocation in a give portfolio (using the Sharpe Ratio).

practical-data-science

Source code for 'Practical Data Science' by Andreas François Vermeulen

practical_dl

DL course co-developed by HSE, YSDA and Skoltech

practical_rl

A course in reinforcement learning in the wild

practical_statistics_for_data_scientists

This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce. This 1st edition book, by O'reilly Media, is a compact reference that explains 50 of the main concepts, that every aspiring Data Scientists should know.

practicalai

📚 A practical approach to learning and using machine learning.

practicalmachinelearning

Course project for Practical Machine Learning: https://www.coursera.org/course/predmachlearn

practicum_projects

Data analysis projects completed during the Practicum coding boot camp

precious-metal-commodity-market-data-science

Development space for PhD in Finance

predict-churn

predict-loan-repayment

Predict whether a loan will be repaid using automated feature engineering.

predict-risk