Denis Sidorenko's repositories
AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
awesome-claude-prompts
This repo includes Claude prompt curation to use Claude better.
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
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
gnn-model-explainer
gnn explainer
graphml-tutorials
Tutorials for Machine Learning on Graphs
Heterogeneous-Deep-Graph-Infomax
HDGI code
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.
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.
numpy-100
100 numpy exercises (with solutions)
PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
scikit-posthocs
Pairwise multiple comparisons (post hoc) tests in Python
single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
treelite
model compiler for decision tree ensembles
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.