Repository with code and slides for a tutorial on causal inference.

Created repo to study Flair Library

A NetworkX addon to compute the graph Ricci curvature and Ricci flow.

data for node2vec

StellarGraph - Machine Learning on Graphs

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Code related to blog posts on my Medium page

A repository of pretty cool datasets that I collected for network science and machine learning research.

Creating fair machine learning models with Generative Adversarial Networks using R.

Tutorials and training material for the H2O Machine Learning Platform

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a …

Anomaly detection on mixed data

Code snippets from Kite blog posts

Sentiment Prediction Using LSTM And Flair using Imdb dataset

Python code for common Machine Learning Algorithms

Machine Learning project with main focus on Natural Language Processing with as goal to correctly classify a flair to posts in the subreddit 'r/CasualConversations'.

DL course co-developed by HSE, YSDA and Skoltech

Collected opinions and advice for academic programs focused on data science skills.

All Code for rossman POC

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

RNN based Time-series Anomaly detector model implemented in Pytorch.

Analyzing words Redditors aren't sure how to spell