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opt_coordinate_descent

Dans le cadre de l'optimisation, il s'agit d'implémentaer le proximal du "coordinate descent"

optimization-project

Course project "Optimization approaches in community detection"

optimization-python

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

optimizers-comparison

optimizing-malpractice-insurance

This project seeks to use data to predict medical malpractice.

optimus

Train, evaluate and deploy Deep Learning based text classifiers. Currently supports CNN

optistate

opy

Obfuscator for Python

orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis https://orange.biolab.si

orange3-associate

Frequent itemsets and association rules mining for Orange 3.

orangehrm

OrangeHRM - Human Resources management

orb_slam

A Versatile and Accurate Monocular SLAM

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

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