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Recommender Systems course in YSDA.
Transform geospatial relations into graphs for Graph Neural Networks and network analysis
GraphPFN: A Prior-Data Fitted Graph Foundation Model
Machine Learning and Computer Vision Engineer - Technical Interview Questions
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Home assignments for data science positions
A playbook for systematically maximizing the performance of deep learning models.
Official repository for the Boltz biomolecular interaction models
Graph Machine Learning course, Xavier Bresson, 2023
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Versatile End-to-End Recommender System
GPU Accelerated t-SNE for CUDA with Python bindings
Pseudo Random workout python telegram bot
This repository is for tracking issues, feature requests, and feedback for KumoRFM.
Videos, quizzes, code, and slideshows for an Introduction to Graph Neural Networks course
This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2025.
Tabular Deep Learning Library for PyTorch
Here you can observe some projects that I have made during my undergraduate studies at the Faculty of Economics of Lomonosov Moscow State University
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
An obsidian plugin that exploit a natural language processing engine to find potential events and sync them with iCalendar