Learn Python Regular Expressions step by step from beginner to advanced levels

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Fundamentals of Deep Learning course notebooks

An implementation of the TrueSkill rating system for Python

Training and Testing a Set of Machine Learning/Deep Learning Models to Predict Airbnb Prices for NYC

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

Natural Language Processing Tutorial for Deep Learning Researchers

Minimal and clean examples of machine learning algorithms implementations

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

What did I do on February 14th 2007? Visualize your (digital) life in Org-mode

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Sample Code for Gated Graph Neural Networks

This is an emacs package that creates graphviz directed graphs.

Easy access to a notes file in Emacs

My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.

A community driven list of useful Emacs packages, libraries and other items.

Data science portfolio

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

it's a small library for running trained Keras 2 models from a native C++ code.

Code for Coursera's Machine Learning and Data Analysis specialization

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

2nd place solution🥕🥈

Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!

Implementation of Deep Feature Interpolation in Tensorflow using a VGG19 model

Deep Feature Interpolation (CVPR 2017)