Sergei Logvinov's starred repositories
recommenders
Best Practices on Recommendation Systems
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
data-science-question-answer
A repo for data science related questions and answers
robotics-toolbox-python
Robotics Toolbox for Python
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
contextualbandits
Python implementations of contextual bandits algorithms
References_Books
My awseome reference books library
machine-learning-design-primer
Learn how to design Machine Learning systems and prepare for an interview.
recsys-challenge-2019
7th place solution: RecSys 2019/trivago Data Challenge
ml-course-hse
Машинное обучение на ФКН ВШЭ