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orange3-associate

Frequent itemsets and association rules mining for Orange 3.

orangehrm

OrangeHRM - Human Resources management

orb_slam

A Versatile and Accurate Monocular SLAM

orc-engine

:kissing: Light-weight recommender engine for Node.js - backed by Redis

order-imbalance-trading-simulation-r-code

Order Imbalance Trading Simulation R Code

orderbook_modeling

Example of order book modeling.

ordered

Entropy-controlled contexts in Python

ordnor

:exclamation: This is a read-only mirror of the CRAN R package repository. OrdNor — Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distributions

osae

Open Sentiment Analysis Engine - Allows humans to flag sentiment for random Twitter samples. The data is saved for use with machine learning sentiment classification projects like Synt

osloworkshop2014

Material for my lectures at the University of Oslo, Dec 2014

ospaf-primary

Ospaf project is an open source project maturity analysis tool, is an open source project consists of two modules, namely, data acquisition module, machine learning modules. Through the open source project on github feature extraction, using machine learning algorithms modeling, to construct a scoring model on open source projects.

oss-2019

What Attract Newcomers to Onboard on OSS Projects? TL;DR Popularity

other-ml-algorithms

Experimentation with Collaborative filtering, Text mining, SVM, Recommender systems, Neural Net etc as part of the COEN 281 (Pattern Recognition and Data mining) course work

otto_group_competition

machine learning competition using NN and xgboost

otusdatadriven

outlier-detection-for-video-session-data-using-sequential-pattern-mining

overview-ctrees

Conditional trees

owasp-zsc

OWASP ZSC - Shellcode/Obfuscate Code Generator

ozonmasters

несколько полезных ссылок

p-fields_simulation

probability fields simulation for categorical variables

p4python

A version of the P4Python module that automatically fetches its dependencies instead of requiring manual intervention.

paas-data-ingestion

Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner

pac-bayes-control

Code for the PAC-Bayes Control paper.

pac-bayes-tree

implementation of PAC-Bayes tree

pac-bayes_sample_compress_for_kernel_methods

Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)

pac-bayesian-theory-meets-bayesian-inference

Code to related to my NIPS 2016 paper

pac_gp

Implementation of the PAC Bayesian GP learning method.

paccldf

Polytree-Augmented Classifier Chains with Label-Dependent Features

packt-data_wrangling

Code repo for Packt course I developed, "Beginning Data Wrangling with Python"

paddle

PArallel Distributed Deep LEarning