andreas-koukorinis's repositories
adagan
AdaGAN: greedy iterative procedure to train mixtures of GANs
bayesian-correlation
Multilevel Bayesian correlation using Stan and PyStan
bdr
Perform bayesian distribution regression
blog_svm
An Efficient Soft-Margin Kernel SVM Implementation In Python
carma_pack
MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
DRL-Chatbot
Deep Reinforcement Learning dialogue agent which implements Q-Learning. Made in Python with TensorFlow.
gpo-smc-abc
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
Grokking-Deep-Learning
this repository accompanies my forthcoming book "Grokking Deep Learning"
interpreting_ml_tuto
Tutorial on interpreting and understanding machine learning models
intro_stat_modeling_2017
Introduction to Statistical Modeling with Python (PyCon 2017)
keras-data-generator
Template for data generator in Keras
MFDFA
Realization of MFDFA method
mlprague2018_tutorial
Code and Datasets for the "Deep Learning for Music Classification using Keras" Workshop
navigating-a-virtual-world-using-dynamic-programming
A reinforcement learning agent navigating the OpenAI's FrozenLake environment
Neat-Dictionary
A simple Python implementation to pretty print dictionaries
nice-ride
Nice Ride MN bikesharing system demand analysis
nonstationary-spectral-kernels
Implementation for Non-stationary Spectral Kernels (NIPS 2017)
notebook
Collection of jupyter notebooks for demonstrating software.
Notebooks-1
Ipython notebooks on various topics
PANDAS
ipython notebooks for analyzing Twitter data
pysystemtrade
Systematic Trading in python
python-data-science-handbook-notes
Notes made while reading Python Data Science Handbook by Jake VanderPlas (https://github.com/jakevdp/PythonDataScienceHandbook)
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
satimg
Satellite data processing experiments
svm-custom-kernel
Custom Kernel application in SVM of Scikit-learn
ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.