lizhangzhan Goto Github PK

pdd

Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams

pgibbs

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

pipeline

Library for building reproducible data pipelines to support experimentation

plsa

a probabilistic latent semantic analysis model in matlab programming

ppt

pregel

Toy single-machine implementation of the Pregel graph-based framework

probabilistic-backpropagation

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

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 ;)

prototype-sequence-modeling

Code from NAACL 2006 Sequence Modeling Paper

proxygen

A collection of C++ HTTP libraries including an easy to use HTTP server.

ps-lite

A light parameter server interface

psgld

Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)

publishrepo

Publish some codes in this repositoy

py-coursera-neural

Python code for Coursera Neural Networks class taught by Professor Geoffrey Hinton

pybasicbayes

pybloomfiltermmap

Fast Python Bloom Filter using Mmap

pykalmanfilters

pylda

A Latent Dirichlet Allocation implementation in Python. Learning of LDA is based on Variational Inference.

pymapreduce

Simple MapReduce implementation in Python, for text file parallel processing

pymc3

PyMC version 3

pymc3_oslo

Probabilistic programming in Python workshop at Oslo universitetssykehus HF

pyrallel

Experimental parallel data analysis toolkit.

pysparnn

Approximate Nearest Neighbor Search for Sparse Data in Python!

pyspider

A Powerful Spider(Web Crawler) System in Python.

python-bloomfilter

Scalable Bloom Filter implemented in Python

python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

pyutil

A python util package

rankingfeatureselection

Feature selection algorithms for learning to rank