Pinned Repositories
2015lab1
aaai-2015-demographics
Code and data for the AAAI 2015 paper entitled: "Predicting the demographics of Twitter users from social evidence using website traffic data"
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-rl
Reinforcement learning resources curated
awesome-scala
A community driven list of useful Scala libraries, frameworks and software.
BridgewellML
Algorithms implemented with "Follow The Proximal Regularized Leader".
cookiecutter-pypackage
Cookiecutter template for a Python package.
CoriseMLOpsW3
Corise MLOPs Project Week 3
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
make-ipinyou-data
This project is to formalise the iPinYou RTB data into a standard format for further researches.
lstavr's Repositories
lstavr/awesome-rl
Reinforcement learning resources curated
lstavr/make-ipinyou-data
This project is to formalise the iPinYou RTB data into a standard format for further researches.
lstavr/2015lab1
lstavr/aaai-2015-demographics
Code and data for the AAAI 2015 paper entitled: "Predicting the demographics of Twitter users from social evidence using website traffic data"
lstavr/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
lstavr/awesome-scala
A community driven list of useful Scala libraries, frameworks and software.
lstavr/BridgewellML
Algorithms implemented with "Follow The Proximal Regularized Leader".
lstavr/cookiecutter-pypackage
Cookiecutter template for a Python package.
lstavr/CoriseMLOpsW3
Corise MLOPs Project Week 3
lstavr/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
lstavr/deeplearning4j
Distributed Deep Learning Platform for Java, Clojure,Scala
lstavr/github-for-developers-7
lstavr/google-interview-university
A complete daily plan for studying to become a Google software engineer.
lstavr/KDD2015wpp
Reproduce the experiments published in "Predicting Winning Price in Real Time Bidding with Censored Data"
lstavr/lstavr.github.io
lstavr/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
lstavr/MMKP_Heuristics
Various implementations of population based metaheuristics to solve hard multiple-choice multidimensional knapsack problems.
lstavr/OpenRefine
OpenRefine is a free, open source power tool for working with messy data and improving it
lstavr/optimal-rtb
A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"
lstavr/or-tools
Google's Operations Research tools
lstavr/pymdptoolbox
Markov Decision Process (MDP) Toolbox for Python
lstavr/rtbkit
RTBkit is a real-time bidder framework designed for use on advertising exchanges such as the Rubicon Project, Nexage, App Nexus, The Google Ad Exchange and others.
lstavr/spark-ec2
Scripts used to setup a Spark cluster on EC2
lstavr/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
lstavr/STAT545-UBC.github.io
Main repository for STAT 545 @ University of British Columbia, a course in data wrangling, exploration, and analysis with R.
lstavr/ToolsOfTheTrade
Tools of The Trade, from Hacker News.
lstavr/trident-ml
Trident-ML : A realtime online machine learning library