UNet diffusion model in pure CUDA

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Bridging LLM and Recommender System.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

A project for collecting and showing the current research progress of FedRec

[Neurips 2023] Generating Mario Levels with GPT2. Code for the paper "MarioGPT: Open-Ended Text2Level Generation through Large Language Models" https://arxiv.org/abs/2302.05981

Code for a workshop on statistical interference using computational methods in Python.

Python Jupyter notebooks to accompany the paper 'Exploring Artist Gender Bias in Music Recommendation' submitted to ImpactRS2020.

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Model that predicts the probability of a Twitter user being anti-vaccination.

A Comparative Framework for Multimodal Recommender Systems

Twitter dataset for 2022 Russian and Ukrainian crisis

This repository collects debiasing methods for recommendation

Master's in Intelligence Interactive Systems (UPF) - Thesis data release

Replication materials for the paper "Comparing automated content analysis methods to distinguish issue communication by political parties on Twitter"

Some common recommendation system baseline, with description and link.

Material for introduction to Deep Learning Tutorials, Summer '20, '21

ISMIR 2020 Tutorial for Metric Learning in MIR

PRML algorithms implemented in Python

The fastai book, published as Jupyter Notebooks

Information Retrieval in High Dimensional Data (class deliverables)

A Gentle Introduction to Word Embeddings for the Computational Social Sciences

Companion git repository and website for tutorial at EuroCSS 2019 in Zurich