roman-dusek
Research Engineer - Ranking for search; Neural search; Graph neural networks
@allegro-internal Prag
roman-dusek's Stars
skypilot-org/skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
kuzudb/kuzu
Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
twitter-research/tgn
TGN: Temporal Graph Networks
Zheng-Chong/CatVTON
CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).
fmind/mlops-python-package
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
lancedb/vectordb-recipes
High quality resources & applications for LLMs, multi-modal models and VectorDBs
THUwangcy/ReChorus
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
wildltr/ptranking
Learning to Rank in PyTorch
mlabonne/graph-neural-network-course
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
uuazed/numerapi
Python API and command line interface for the numer.ai machine learning competition
o19s/hello-ltr
Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch
resumejob/system-design-in-practice
Get ready for System Design Interviews using practical examples.
Swiggy/Moo-GBT
Library for Multi-objective optimization in Gradient Boosted Trees
nixiesearch/nixiesearch
Hybrid search engine, combining best features of text and semantic search worlds
pinterest/atg-research
thedataquarry/rustinpieces
Journeys between the two worlds of Python 🐍 and Rust 🦀
otto-de/MultiTRON
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
councilofelders/meetups
Materials from CoE sponsored meetups
TengShi-RUC/UniSAR
The implementation of UniSAR
gauravchak/user_preference_modeling
Multiple ways to model user preference in recommender systems
AIM-SE/DA4Rec
jarokaz/merlin-on-vertex
Ethan-TZ/EulerFormer
[SIGIR 2024] This is the official PyTorch implementation for the paper: "EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention".
karapostK/hassaku
Hassaku is a(nother) research-oriented Recommender System Framework written mostly in Python and leveraging PyTorch. Hassaku hosts the main procedure for data processing, training, testing, hyperparameter optimization, metrics computation, and logging for several Collaborative Filtering-based Recommender Systems.
yueqirex/ModSAR
[Under review] This is PyTorch-Lightning and Ray-Tune implementation of AE/AR reality check on self-attentive sequential recommenders
TheNoiselessNoise/csfd_scraper
Simple scraper for CSFD.cz, a Czech movie database.
Li-fAngyU/sequential_rec
Implement our enhanced loss base on CIKM2020-S3Rec repo, and provide tutorials to implement enhanced loss at Aprec repo.
jarokaz/vertex-ai-workshop
Tigxy/SiBraR---Single-Branch-Recommender