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Name: Denis Sidorenko
Type: User
Company: Insilico Medicine
Bio: Researcher at Insilico Medicine. Postgrad at ITMO University.
Name: Denis Sidorenko
Type: User
Company: Insilico Medicine
Bio: Researcher at Insilico Medicine. Postgrad at ITMO University.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
ARCH models in Python
This repo includes Claude prompt curation to use Claude better.
:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
This is the repository containing the solution of the homework for the CS224W course at Stanford: Machine Learning with Graphs
Assignment for CS224W
Productivity Tools for Plotly + Pandas
https://www.kaggle.com/c/second-annual-data-science-bowl
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
This repository contains implementations and illustrative code to accompany DeepMind publications
Repository for Data Mining in Action Spring 2019 Deep Learning track
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Features selector based on the self selected-algorithm, loss function and validation method
gnn explainer
Tutorials for Machine Learning on Graphs
HDGI code
Python module to perform under sampling and over sampling with various techniques.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Приложения к книге "Введение в статистическое обучение с примерами на языке R"
Материалы к курсу по Knowledge Graphs
My approach to CS224w [AT] Stanford 2019 : )
A collection of infrastructure and tools for research in neural network interpretability.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
OpenDataScience Machine Learning course (yet Russian-only)
Multiple hypothesis testing in Python
A distributed, fast open-source graph database featuring horizontal scalability and high availability
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.