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presentation-python-threading

presentations

Slide show presentations regarding data driven investing.

presentations-1

Oral, poster and courses from meetings and conferences

presentations-2

Presentations

presto

Distributed SQL query engine for big data

presto-minio

Big data software in Docker containers

pretools

Preparation tools for machine learning

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

pretty-heatmaps

Create geographic heat maps with bicubic interpolation

prgopenstreetmap

price-of-weed

Scrapes average price of weed across the country

price_response

code for studying welfare effects of price-based demand response

pricequenchdetection

Using deep learning methods to predict stock price cliff

pricermontecarlo

Outil de valorisation et de couverture de produits financiers

prices

Based on Guntis (2007).

pricinghedging_prova2

prickle

A Python toolkit for high-frequency trade research.

primitive-demos

Demo notebooks showcasing premium primitives

princetonpy

repo for past princetonpy presentation notebooks

principalcomponentanalysis_in_lmm_hjm_and_hedging

In this repository we cover the application of Principal Component Analysis to two areas of fixed income: to induce correlation in multi factor models such as LMM and HJM, and to hedge interest rate risk

principaltimeseries

principle-of-web-search

北京邮电大学“网络搜索原理”课程资料

principles-of-machine-learning-python

Principles of Machine Learning Python

printable-district-maps

High-resolution, print-quality congressional district maps and an example of loading Open Street Map (OSM) into Postgres.

printnc

100% Free and Open Source, the PrintNC is the next generation of high performance, affordable CNC machines

printtraj

Show trajectory on a map to observe the history.

prior

prior distributions in MATLAB.

prior_from_quantiles

Computes mean and variance of a prior distribution from a quantile

priors-for-the-long-run

Priors for the Long Run, by Domenico Giannone, Michele Lenza & Giorgio E. Primiceri

prism

MT Evaluation in Many Languages via Zero-Shot Paraphrasing