The most Obsidian-native PDF annotation, viewing & editing tool ever. Comes with optional Vim keybindings.

[Pytorch] Generative retrieval model based on RQ-VAE from "Recommender Systems with Generative Retrieval"

🤖 A Python library for learning and evaluating knowledge graph embeddings

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!

[Tool] For Knowledge Graph Representation Learning

Paper List of Pre-trained Foundation Recommender Models

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Materials supporting the ECIR '23 paper: redicting the Listening Contexts of Music Playlists Using Knowledge Graphs

A Python handler for mkdocstrings.

A beautiful, simple, clean, and responsive Jekyll theme for academics

personal website + blog for every github user

An example of a project generated with cookiecutter-poetry.

Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Fast implementation of the MRR ranking metric

Building recommender systems in Julia

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

A unified, comprehensive and efficient recommendation library

Markov Random Fields for Collaborartive Filtering

Binary.com & Deriv.com API for Python

This is the official repository for the Recommender Systems course at Politecnico di Milano.

A library of metrics for evaluating recommender systems

A community-maintained Python framework for creating mathematical animations.

Graph Neural Network Library for PyTorch

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

A pytorch implementation for BPR (Bayesian Personalized Ranking).

Google Research

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.