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followers: 0.0 following: 0.0 repos: 46.0 gists: 1.0

Name: Denis Sidorenko

Type: User

Company: Insilico Medicine

Bio: Researcher at Insilico Medicine. Postgrad at ITMO University.

Denis Sidorenko's Projects

ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

arch

ARCH models in Python

awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

awesome-timeseries-spatiotemporal-lm-llm

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

bayesianmmm

(ml) - python implementation of bayesian media mix modelling with shape and carryover effect

champ

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance

cs224w-stanford

This is the repository containing the solution of the homework for the CS224W course at Stanford: Machine Learning with Graphs

cs224w_assignment

Assignment for CS224W

cufflinks

Productivity Tools for Plotly + Pandas

datasciencebowl

https://www.kaggle.com/c/second-annual-data-science-bowl

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dmia_dl_2019_spring

Repository for Data Mining in Action Spring 2019 Deep Learning track

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-selection

Features selector based on the self selected-algorithm, loss function and validation method

gnn-model-explainer

gnn explainer

graphml-tutorials

Tutorials for Machine Learning on Graphs

heterogeneous-deep-graph-infomax

HDGI code

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

islr-ru

Приложения к книге "Введение в статистическое обучение с примерами на языке R"

kgcourse2021

Материалы к курсу по Knowledge Graphs

learning_cs224w

My approach to CS224w [AT] Stanford 2019 : )

lucid

A collection of infrastructure and tools for research in neural network interpretability.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

mlcourse_open

OpenDataScience Machine Learning course (yet Russian-only)

multipy

Multiple hypothesis testing in Python

nebula

A distributed, fast open-source graph database featuring horizontal scalability and high availability

netwulf

Interactive visualization of networks based on Ulf Aslak's d3 web app.

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