ilivans

tf-rnn-attention

Tensorflow implementation of attention mechanism for text classification tasks.

attention-sentiment

My bachelor's degree thesis (with code and experiments) on sentiment classification of Russian texts using Bi-RNN with attention mechanism.

subway-map

Force-directed graph drawing algorithm for subway map layout

ysda-information-retrieval

Assignments and materials for Information Retrieval course, YSDA, Spring 2017

mipt-math-stats

Assignments and materials for Modern Mathematical Statistics Methods course, MIPT, Spring 2017.

atm-design-patterns

ATM implementation employing multiple design patterns

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

cyk_algorithm

CYK (Cocke–Younger–Kasami) algorithm implementation. Written in 2014 during Formal Languages course at MIPT.

information-retrieval-coursera

intent_classifier

jupyter-utils

Some useful utilities for work in Jupyter notebooks.

kaggle-environments

kaggle-quora-question-pairs

Code for Quora Question Pairs competition (https://www.kaggle.com/c/quora-question-pairs)

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

law-themes-classifier

linalg-everware

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

multihead-sentiment

Practical_DL

DL course taught by Victor Lempitsky

SantoriniAI

Artificial Intelligence for the boardgame Santorini

scikit-learn

scikit-learn: machine learning in Python

shape-classifier

ShapeClassifier class with unit tests and mutation testing

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

ysda-algorithms

Algorithms and Data Structures course at YSDA, 2017

ysda-computer-vision-part1

Computer Vision course at YSDA, 2017

ysda-cpp

C++ course at YSDA, 2017

ysda-discrete-maths

Discrete Mathematics and Probability Theory course at YSDA

ysda-machine-translation

Assignments and materials for Machine Translation course, YSDA, Spring 2017.

ysda-ml-theory

Machine Learning Algorithms, YSDA, 2018

ysda-statistics-in-ml

Statistics in ML, YSDA, 2018