tonellotto

cloud-computing

Web repository for the "Cloud Programming Models" module

PythonLectures

Some Python notebooks for my Cloud Computing class

toyscraper

Toy scaping code using JSoup

terrier-micro

An efficient layer to perform query processing on top of Terrier

beir-sparta

Re-Implementation of SPARTA model

ANCE

A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks

cikm2021tutorial

CIS-Tutorial-SIGIR2022

Repository for SIGIR 2022 CIS tutorial

cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

deepimpact

dpr-scale

Scalable training for dense retrieval models.

drhard

Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track (SIGIR 2021 Full Paper).

faiss_tips

Some useful tips for faiss

Information-Retrieval

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

ir_datasets

Provides a common interface to many IR ranking datasets.

LLMs-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

pira-project

Repository for the software products developed for the PIRA projects

pyterrier_ance

pyterrier_dr

pyterrier_t5

python-cheatsheet

Comprehensive Python Cheatsheet

python-dev-notes

My notes on developing systems using Python

ranknet-lambdarank-pytorch-examples

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

rosetta

Translates english text into other languages of the Forgotten Realms

SIFT

A vectorized implementation of Lowe's Scale Invariant Feature Transform.

SIFT-Image-Indexer

A CV2 SIFT-based image similarity using MySQL DB for intermediate results

terrier-core

Terrier IR Platform

tikz_favorites

collection of favorite TikZ graphics

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

what_are_embeddings

A deep dive into embeddings starting from fundamentals