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pathfinding.js

A comprehensive path-finding library for grid based games

pattern_classification

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

paxi

Paxos protocol framework

peafowl

Peafowl is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead by using memcache protocol for maximum cross-platform compatibility.

peleenet

PeleeNet: An efficient DenseNet architecture for mobile devices

pennpyrcbot

Automatically exported from code.google.com/p/pennpyrcbot

perceptronix

Sparse and dense linear models, for C++ and Python, with funny optimizations

permabank

petrel

Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python

petuum

SailingLab's Petuum project.

pgibbs

An implementation of parallel gibbs sampling for word segmentation and POS tagging.

photo-a-day-aligner

Tools to help compose images from daily self-portrait time lapses

pialign

pialign - A Phrasal ITG Aligner

pillow-simd

The friendly PIL fork

pngquant

Lossy PNG compressor — CLI and libimagequant library ("pornel/pngquant" is the official repository of the project)

policy_search_bb-alpha

polyglot

Multilingual text (NLP) processing toolkit

pomegranate

Graphical models for Python, implemented in Cython for speed.

porcupine

On-device wake word detection engine powered by deep learning.

posecnn

A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

postal

📨 A fully featured open source mail delivery platform for incoming & outgoing e-mail

powergraph

PowerGraph: A framework for large-scale machine learning and graph computation.

practicalai

A practical approach to learning machine learning.

predictionio

PredictionIO, a machine learning server for software developers and data engineers.

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

prml

Some IPython notebooks based on Bishop's "Pattern Recognition and Machine Learning" book

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 ;)

programmers-introduction-to-mathematics

Code for A Programmer's Introduction to Mathematics

programming-language-network

The network of programming languages

projectoxford-clientsdk

The official home for the Microsoft Project Oxford client SDK and samples