andreas-koukorinis Goto Github PK

2016.pyconuk.org

Conference website for PyCon UK 2016

2017wangruchenmsthesis

adagan

AdaGAN: greedy iterative procedure to train mixtures of GANs

adpredictor

A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python

advancement

aleatory

📦 Python library for Stochastic Processes Simulation and Visualisation

algorithmic-trading

Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.

algorithms_in_ipython_notebooks

A repository with IPython notebooks of algorithms implemented in Python.

alphatoe

Applying the deep learning techniques from Alpha Go to play tic-tac-toe

ambhas

Automatically exported from code.google.com/p/ambhas

analysing-machine-learning-models-with-yellowbrick

Yellowbrick is an open source, Python project that extends the scikit-learn API with visual analysis and diagnostic tools

annotated-papers

A short description of the papers I'm reading.

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.

arcade-learning-environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

arch

ARCH models in Python

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

association_recommendation

A demonstration of association rules and recommendation systems using Python

awesome-algorithmic-trading

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

awesome-deep-learning

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

awesome-free-deep-learning-papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

banditsbook

Code for my book on Multi-Armed Bandit Algorithms

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

basketball

Python code for extracting and analyzing basketball stats

bayesian-correlation

Multilevel Bayesian correlation using Stan and PyStan

bayesianrecurrentnn

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

bck_stats

Routines for implementing various statistical and machine learning techniques.

bdr

Perform bayesian distribution regression

bdtaunu_feature_exploration