andreas-koukorinis/PaperCode

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andreas-koukorinis/ezhulenev.github.io Fork of ezhulenev/ezhulenev.github.io

My Blog

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andreas-koukorinis/ML_Regression_Uni_Washington Fork of MMcDonn/ML_Regression_Uni_Washington

A collection of the completed iPython notebooks for University of Washington's Machine Learning MOOC. Covers multivariate regression, ridge regression, LASSO regression and feature selection, KNN and kernel regression.

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andreas-koukorinis/Statistical-Arbitrage Fork of cpueschel/Statistical-Arbitrage

Clustering of stocks to identify pairs. Uses cointegration and Dickey–Fuller test.

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andreas-koukorinis/tennis_atp Fork of JeffSackmann/tennis_atp

ATP Tennis Rankings, Results, and Stats

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andreas-koukorinis/misvm Fork of garydoranjr/misvm

Multiple-Instance Support Vector Machines

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andreas-koukorinis/nhlscrapi Fork of robhowley/nhlscrapi

Python based web scraper API for NHL game data

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andreas-koukorinis/tennis_misc Fork of JeffSackmann/tennis_misc

Scripts implementing tennis algorithms + other misc tennis stuff

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andreas-koukorinis/nba Fork of gmf05/nba

Scripts to collect and analyze basketball data

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andreas-koukorinis/coinbase-exchange-order-book Fork of PierreRochard/coinbase-exchange-order-book

Real-time Coinbase Exchange order book + basic market maker bot

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andreas-koukorinis/tdb Fork of ericjang/tdb

Interactive, node-by-node debugging and visualization for TensorFlow

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andreas-koukorinis/DeepMining Fork of livingbio/DeepMining

Auto-tuning Machine Learning Pipelines

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andreas-koukorinis/reference-library Fork of JackKelly/reference-library

My academic reference library in BibLaTeX format

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andreas-koukorinis/pyfolio Fork of quantopian/pyfolio

Portfolio and risk analytics in Python

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andreas-koukorinis/Theano-Tutorials Fork of Newmu/Theano-Tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

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andreas-koukorinis/football-analysis Fork of allanderek/football-analysis

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andreas-koukorinis/bptf Fork of aschein/bptf

Bayesian Poisson tensor factorization

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andreas-koukorinis/pydata-book Fork of wesm/pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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andreas-koukorinis/intro2deeplearning Fork of rouseguy/intro2deeplearning

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andreas-koukorinis/sympy Fork of sympy/sympy

A computer algebra system written in pure Python

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andreas-koukorinis/awesome-deep-learning Fork of ChristosChristofidis/awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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andreas-koukorinis/data-science-ipython-notebooks Fork of donnemartin/data-science-ipython-notebooks

Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. https://bit.ly/data-notes

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andreas-koukorinis/svm-classification Fork of EFavDB/svm-classification

SVM classification using custom kernel + make plot.ly plots

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andreas-koukorinis/betfair.py Fork of jmcarp/betfair.py

A Python wrapper for the Betfair API

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andreas-koukorinis/Finance-S-P-Time-series Fork of InspectorFowler/Finance-S-P-Time-series

Statistical model to assess the future stock movement of an S&P500 stock under extrinsic factors like volatility index, Treasury interest rates, consumer price Index, etc

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andreas-koukorinis/deeppy Fork of andersbll/deeppy

Deep learning in Python

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andreas-koukorinis/NylonCalculus101-BasketballDataAnalytics Fork of sujitshivaprasad/NylonCalculus101-BasketballDataAnalytics

All credits to NylonCalculus. This is simply the code from the tutorial on http://nyloncalculus.com/2015/09/07/nylon-calculus-101-data-scraping-with-python/

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andreas-koukorinis/DenoisingAutoEncoder Fork of ramarlina/DenoisingAutoEncoder

Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

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andreas-koukorinis/Tennis-Modelling Fork of erik-grabljevec/Tennis-Modelling

Predict outcome of tennis matches with tennis ranking models.

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andreas-koukorinis/portfolioopt Fork of czielinski/portfolioopt

Financial Portfolio Optimization Routines in Python

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andreas-koukorinis/CodePaperHybrid

Code for the Hybrid Model for SVM /HSMM/Copula

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andreas-koukorinis/statistical-analysis-python-tutorial Fork of fonnesbeck/statistical-analysis-python-tutorial

Statistical Data Analysis in Python

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andreas-koukorinis/paper

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andreas-koukorinis/ipydash Fork of a-campbell/ipydash

Easy to deploy IPython Notebook dashboards with Flask.

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andreas-koukorinis/pbpython Fork of chris1610/pbpython

Code, Notebooks and Examples from Practical Business Python

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andreas-koukorinis/gpts Fork of mathDR/gpts

Gaussian Process Time Series (port of Ryan Turner thesis work)

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andreas-koukorinis/opencv Fork of bytefish/opencv

Various OpenCV projects I found on my disk: Face Recognition, Machine Learning, Colormaps, Samples...

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andreas-koukorinis/pydataseattle2015 Fork of wrobstory/pydataseattle2015

PyData Seattle 2015: Python Data Bikeshed

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andreas-koukorinis/R-Factor-Models Fork of BradGalton/R-Factor-Models

Carhart, Barra, and PCA factor model fitting

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andreas-koukorinis/statsmodels Fork of statsmodels/statsmodels

Statsmodels: statistical modeling and econometrics in Python

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andreas-koukorinis/seaborn Fork of mwaskom/seaborn

Statistical data visualization using matplotlib

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andreas-koukorinis/py4fi Fork of yhilpisch/py4fi

Python for Finance (O'Reilly)

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andreas-koukorinis/quant Fork of paulperry/quant

Quantitative Finance and Algorithmic Trading

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andreas-koukorinis/pandas_tutorial Fork of jonathanrocher/pandas_tutorial

Pandas tutorial for SciPy2015 conference

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andreas-koukorinis/scipy_2015_sklearn_tutorial Fork of amueller/scipy_2015_sklearn_tutorial

Scikit-Learn tutorial material for Scipy 2015

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andreas-koukorinis/datapreproc

Scripts to pre-process raw data, queries to update database with daily updates, create content for website etc.

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andreas-koukorinis/ipython-soccer-predictions Fork of GoogleCloudPlatform/ipython-soccer-predictions

Sample iPython notebook with soccer predictions

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andreas-koukorinis/hftrap Fork of point-line-surface-body/hftrap

Trading platform for high frequency data

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andreas-koukorinis/TutorialPyMCRugby Fork of springcoil/TutorialPyMCRugby

My Tutorial for PyData London

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andreas-koukorinis/pydata-tutorial Fork of cambridgecoding/pydata-tutorial

Files for London PyData London, 2015

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andreas-koukorinis/High-Frequency-Trading-Model-with-IB Fork of jamesmawm/High-Frequency-Trading-Model-with-IB

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

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andreas-koukorinis/matplotlib-gallery Fork of rasbt/matplotlib-gallery

Examples of matplotlib codes and plots

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andreas-koukorinis/Mastering-Python-for-Finance-source-codes Fork of jamesmawm/Mastering-Python-for-Finance-source-codes

Accompanying source codes for my book 'Mastering Python for Finance'.

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andreas-koukorinis/DL-Meetup-intro Fork of graphific/DL-Meetup-intro

Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015

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andreas-koukorinis/icml2015_papers Fork of KirkHadley/icml2015_papers

Links to ICML 2015 papers available on arxiv

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andreas-koukorinis/pyhsmm-autoregressive Fork of mattjj/pyhsmm-autoregressive

autoregressive plugin

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andreas-koukorinis/football_analysis Fork of stylianos-kampakis/football_analysis

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andreas-koukorinis/Machine-Learning-Finance Fork of nitcob/Machine-Learning-Finance

Data mining and machine learning with over 550 different companies to analyse how the P/E ratio and Debt/Equity affects the stock price.

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andreas-koukorinis/Predict-financial-recession Fork of cacoderquan/Predict-financial-recession

The major goal of this project is to predict financial re- cession given the frequencies of the top 500 word stems in the reports of financial companies. After applying various learning models, we can see that the prediction of financial recession by the bag of words has an accuracy of more than 90%. Hence, there is indeed a correlation between the two. Moreover, we have compared different learning models (ensemble methods with Decision Tree, SVM, and KNN) with various parameters to find the best model with a relatively high average accuracy and low variance of accuracy by cross-validation on the training data set. In addition, we have also tried several pre-processing methods (tf-idf, feature selection, and centroid-based clustering) to improve the accuracy of the learning models. In the end, the best model is Gradient Boosting with Decision Tree using the pre-processed tf-idf data set.

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andreas-koukorinis/pydata-dal-2015 Fork of bugra/pydata-dal-2015

Pydata Dallas 2015 Scikit-Learn Tutorial

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andreas-koukorinis/bet365-scraper Fork of thereals0beit/bet365-scraper

Bet365.com soccer scraper

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andreas-koukorinis/Machine-Learning Fork of brookgao/Machine-Learning

Regression Analysis(LS,LASSO,RR,RLS,BR), Clustering(KNN, EM, Mean-shift), Digits Classification

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andreas-koukorinis/dl-machine Fork of graphific/dl-machine

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning - Fork of eickenberg (included caffe) in turn fork of Deep-Learning-Paris-Meetup

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andreas-koukorinis/PyEcon Fork of radovankavicky/PyEcon

Python for Economists

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andreas-koukorinis/Applied-Data-Science Fork of dimbi/Applied-Data-Science

All codes from Applied data science class from fall semester 2014. This includes Python statistics (regression analysis, neural networks, classification etc) using stats models package and pandas, as well as equivalent scripts in R.

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andreas-koukorinis/python-biplot Fork of teddyroland/python-biplot

Generates simple biplot using common scientific Python packages

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andreas-koukorinis/rnngsn_icml15 Fork of mbeissinger/rnngsn_icml15

Paper for RNN-GSN

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andreas-koukorinis/datacollect Fork of rasbt/datacollect

A collection of tools to collect and download various data.

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andreas-koukorinis/SupportVectorMachines Fork of sradutta/SupportVectorMachines

Support Vector Machines chapter (Lesson 6) of Unit 4 of Thinkful's Data Science Class

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andreas-koukorinis/orderbook-dynamics Fork of ezhulenev/orderbook-dynamics

Modeling high-frequency limit order book dynamics with support vector machines

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andreas-koukorinis/FootballTwitterSentiment Fork of BackstrokeLabs/FootballTwitterSentiment

inMobi 2014 [Hackathon] Real time analysis and visualization on tweets during a football match

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andreas-koukorinis/pydata-bayes-changepoint Fork of swhustla/pydata-bayes-changepoint

Changepoint detection algorithms in python

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andreas-koukorinis/thesis_writeups Fork of sergeyk/thesis_writeups

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andreas-koukorinis/TennisPredictor Fork of DChen7/TennisPredictor

A web app that uses logarithmic regression to predict the outcome of tennis matches. Built with Python's Scikit-learn package and Flask

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andreas-koukorinis/plfit Fork of ntamas/plfit

Fitting power-law distributions to empirical data, according to the method of Clauset, Shalizi and Newman

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andreas-koukorinis/nilearn_course Fork of neuroccino/nilearn_course

Notebooks for a course on nilearn

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andreas-koukorinis/soccermetrics-client-py Fork of soccermetrics/soccermetrics-client-py

Python client library for the Soccermetrics soccer analytics APIs.

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andreas-koukorinis/simple-mkl-python Fork of gjtrowbridge/simple-mkl-python

Implementation of the SimpleMKL algorithm (multiple kernel SVM)

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andreas-koukorinis/copula Fork of pietdion/copula

Copula ideas

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andreas-koukorinis/SVM-1

Basic SVM method for predicting regime switches

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andreas-koukorinis/phd-thesis Fork of duvenaud/phd-thesis

I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth

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andreas-koukorinis/oblas-py278-shogun-demo Fork of c3h3/oblas-py278-shogun-demo

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andreas-koukorinis/PyData2014-Berlin Fork of mvaz/PyData2014-Berlin

Networks meet Finance in Python - July 27 2014

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andreas-koukorinis/gaussian_process_conditional_copulas Fork of lopezpaz/gaussian_process_conditional_copulas

Paper and code for "Gaussian Process Vine Copulas for Multivariate Dependence", ICML 2013

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andreas-koukorinis/Financial_Maps Fork of pathow/Financial_Maps

Mapping international financial data by country

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andreas-koukorinis/randomized_causation_coefficient Fork of lopezpaz/randomized_causation_coefficient

Paper and code for "The Randomized Causation Coefficient", 2014

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andreas-koukorinis/sklearn_pandas_tutorial Fork of GaelVaroquaux/sklearn_pandas_tutorial

EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn

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andreas-koukorinis/portfolio-1 Fork of intuition-io/portfolio

Keep calm and optimize

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andreas-koukorinis/tennis Fork of rforgione/tennis

Predicting the result of a tennis match based on a player's statistics within that match.

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andreas-koukorinis/betfair-strategy-tester Fork of markoutso/betfair-strategy-tester

A simple python framework for creating and simulating betting strategies against betfair soccer data in Match Odds markets.

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andreas-koukorinis/rus-elections-stats Fork of evgeny-boger/rus-elections-stats

Simple tools for performing statistical analysis of Russian elections data

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andreas-koukorinis/bck_stats Fork of brandonckelly/bck_stats

Routines for implementing various statistical and machine learning techniques.

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andreas-koukorinis/ML_for_Hackers Fork of swhustla/ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

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andreas-koukorinis/Computational-Methods-for-Data-Analysis Fork of c3h3/Computational-Methods-for-Data-Analysis

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andreas-koukorinis/Viterbi Fork of llrs/Viterbi

Example of Viterbi algorithm

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andreas-koukorinis/football-scores Fork of tomh05/football-scores

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andreas-koukorinis/hidden_markov_models Fork of i-am-charlie/hidden_markov_models

this is a python module for creating, training and applying hidden Markov models to discrete of continuous observations. Includes forward/backward viterbi

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andreas-koukorinis/DeepLearning Fork of dusano/DeepLearning

Python implementation of UFLDL tutorial code

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andreas-koukorinis/HodgkinHuxley

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andreas-koukorinis/hmm-1 Fork of mstrosaker/hmm

Hidden Markov models in Python

Language: Python - Size: 141 KB - Last synced: over 1 year ago - Pushed: about 10 years ago - Stars: 0 - Forks: 0