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planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

plotly.py

the browser-based graphing library for python

pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

pogs

Proximal Operator Graph Solver

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

polyfuse

Fusion for TREC run files with popular fusion techniques

polylearn

A library for factorization machines and polynomial networks for classification and regression in Python.

portfolio

Keep calm and optimize

portfolio_programming

mathematical programming of portfolio

portray

Your Project with Great Documentation.

pot

Python Optimal Transport library

power-bi-embedded-integrate-report-into-web-app

A Power BI Embedded sample that shows you how to integrate a Power BI report into your own web app

powerbi-ember

A set of EmberJS components to seamlessly embed Power BI components into web based applications

powerbi-visuals

Documentation for creating visuals for Power BI

poweroutagepredictor

This is an implementation of machine learning methods for power outage prediction. I worked on this project with Ryan, Yanbo and Jerry.

pox

utilities for filesystem exploration and automated builds

pqkmeans

Fast and memory-efficient clustering

practical_rl

A course in reinforcement learning in the wild

practicals-2019

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

predict-bank-fraud

predict-price-from-word-tags

1st place solution (kaggle)

preprocessing-pipeline-demo

This repository holds the code mentioned in my article "Event Driven Data Pipelines in AWS"

presumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

prf

Probabilistic Random Forest: A machine learning algorithm for noisy datasets

probabilistic-covshift

Density Ratio Estimation with Probabilistic Classification Approach

probability_machine-learning

"Probabilistic Machine Learning" - a book series by Kevin Murphy

probrnn

State space modeling with recurrent neural networks

programm2

LeetCode In Action - Python (705+)

project_graph

protext

Python library for processing Japanese text.