roman-dusek

n8n

Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.

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.

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

rerankers

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

tgn

TGN: Temporal Graph Networks

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).

mlops-python-package

Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

ReChorus

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

ptranking

Learning to Rank in PyTorch

nixiesearch

Hybrid search engine, combining best features of text and semantic search worlds

graph-neural-network-course

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

numerapi

Python API and command line interface for the numer.ai machine learning competition

hello-ltr

Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch

system-design-in-practice

Get ready for System Design Interviews using practical examples.

torchjd

Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

Moo-GBT

Library for Multi-objective optimization in Gradient Boosted Trees

LRURec

[WSDM 2024] Official PyTorch Implementation of Linear Recurrent Units for Sequential Recommendation (LRURec)

ExcelFormer

The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.

MultiTRON

🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.

meetups

Materials from CoE sponsored meetups

user_preference_modeling

Multiple ways to model user preference in recommender systems

DA4Rec

merlin-on-vertex

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.

ModSAR

[Under review] This is PyTorch-Lightning and Ray-Tune implementation of AE/AR reality check on self-attentive sequential recommenders

value_model_tuning

nDCG and regret based tools to find value model weights

csfd_scraper

Simple scraper for CSFD.cz, a Czech movie database.

sequential_rec

Implement our enhanced loss base on CIKM2020-S3Rec repo, and provide tutorials to implement enhanced loss at Aprec repo.

vertex-ai-workshop

SiBraR---Single-Branch-Recommender

A Multi-Modal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios