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predictsolarflare

a Machine Learning example:compare between multi-task Linear Method and Random Forest

prefixtreeespan

A C++ implement of PrefixTreeESpan

prefixtreeespan-1

prep

Code and data for paper PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks

prgds

Poisson-Randomized Gamma Dynamical Systems

privacy-itsa

Anonymize trajectory stream

prme

Implementation of the Personalized Ranking Metric Embedding for Next New POI Recommendation

prme-1

Code for ICML 2019 paper "Random Function Priors for Correlation Modeling"

prml

PRML algorithms implemented in Python

prmlt

Pattern Recognition and Machine Learning Toolbox

probabilistic-matrix-factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

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 ;)

probgan

PyTorch implementation of ICLR 2019 paper "ProbGAN"

probsub

Structured SVM with probably submodular constraints

projectnet

The Project Net algorithm for learning better word embeddings with Knowledge Graph.

prolod

ProLOD++

protomf

This repository hosts the code and the additional materials for the paper "ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations" by Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, and Markus Schedl at RecSys 2022.

pscmmodel

psl

The PSL software from the University of Maryland.

py-sdm

Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.

pyclick

pygcn

Graph Convolutional Networks in PyTorch

pyhawkes

Python framework for inference in Hawkes processes.

pylearn-parsimony_history

Sparse and Structured Machine Learning in Python

pymtl

PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-learn, SciPy and NumPy.

pynpb

Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).

pypegasos

Simple Python implementation of the Primal Estimated Sub-Gradient Solver for SVM

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pysbm

A Python Package for Stochastic Block Model Inference

pystruct

Simple structured learning framework for python