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paraview

VTK-based Data Analysis and Visualization Application

parmesan

Variational and semi-supervised neural network toppings for Lasagne

pathnet-pytorch

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

pb_anda

pennylane

PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations

person-reid_gan

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

personae

Personae is a repo of implements and enviorment of Deep Reinforcement Learning & Supervised Learning.

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

phd-thesis

Repository of my thesis "Understanding Random Forests"

phillip

The SSBM "Phillip" AI.

pilco

Using Pilco algorithm to find a controller for few robotic problems

pilothouse

Autonomous Sailboat using Node.js

pkuseg-python

python版本：高准确度中文分词工具，简单易用，跟现有开源工具相比大幅提高了分词的准确率。

planet

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

planetaryexploration

Multi agent planetary exploration with different implementations of reinforcement learning

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

pn_gan

Pose-Normalized Image Generation for Person Re-identification

pocket-ocr

Demonstration of Tesseract OCR on the iPhone. Video: http://www.youtube.com/v/MICew5-nZp4?hl=en_US&fs=1

policy-gradient-reinforcement-learning

practical_rl

A course in reinforcement learning in the wild

predictingpersonalityfromeeg

Predicting personality from the resting state EEG

predictive-representations-plos-cb-2017

code for "Predictive representations can link model-based reinforcement learning to model-free mechanisms"

predictron

Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"

predictron-1

WIP implementation of "The Predictron: End-To-End Learning and Planning" (http://arxiv.org/abs/1612.08810) in Chainer

probabilistic-backpropagation

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

prog_nn

A Quick and Dirty Progressive Neural Network written in TensorFlow.

progressive_a3c

Code used for an implementation of Progressive Neural Networks

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation