JohnGiorgi

open-mds

The corresponding code for our paper: "Exploring the Challenges of Open Domain Multi-Document Summarization". Do not hesitate to open an issue if you run into any trouble!

Transfer-Learning-BNER-Bioinformatics-2018

This repository contains supplementary data, and links to the model and corpora used for the paper: Transfer learning for biomedical named entity recognition with neural networks.

compact-multi-head-self-attention-pytorch

A PyTorch implementation of the Compact Multi-Head Self-Attention Mechanism from the paper: "Low Rank Factorization for Compact Multi-Head Self-Attention"

CSC412-2506-course-notes

Course notes for CSC412/2506 Winter 2019: Probabilistic Learning and Reasoning

DeCLUTR

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

deeplearning.ai-coursera-notes

Compiled notes for the deeplearning.ai specialization on Coursera.

mathematics-for-machine-learning

A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematics essential to understanding machine learning.

seq2rel

The corresponding code for our paper: A sequence-to-sequence approach for document-level relation extraction.

semantic-search

A simple semantic search engine for scientific papers.

JohnGiorgi/DeCLUTR

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

JohnGiorgi/seq2rel

The corresponding code for our paper: A sequence-to-sequence approach for document-level relation extraction.

JohnGiorgi/deeplearning.ai-coursera-notes

Compiled notes for the deeplearning.ai specialization on Coursera.

JohnGiorgi/biorxiv-scraper

A scraper for bioRxiv

JohnGiorgi/paper-cleanup

Organizes a workflow for cleaning LaTex for paper submissions to arXiv and *ACL conferences.

JohnGiorgi/2023

JohnGiorgi/anmol098

If you are forking please do not forget to star the repo

JohnGiorgi/BARTScore

BARTScore: Evaluating Generated Text as Text Generation

JohnGiorgi/datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

JohnGiorgi/DiscoScore

DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence

JohnGiorgi/dotfiles

My personal . files

JohnGiorgi/johngiorgi

JohnGiorgi/johngiorgi.github.io

Repository for my personal website.

JohnGiorgi/maria-paperpile-notion

JohnGiorgi/ms2

JohnGiorgi/nlpaug

Data augmentation for NLP

JohnGiorgi/OCW

Code accompanying the paper "Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset"

JohnGiorgi/pyterrier

A Python framework for performing information retrieval experiments, building on http://terrier.org/

JohnGiorgi/pyterrier_sentence_transformers

Create PyTerrier compatible dense indices using any sentence_transformers model

JohnGiorgi/pyterrier_t5

JohnGiorgi/qaeval

JohnGiorgi/re-examining-correlations

Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics - This repository contains the code for the NAACL 2022 paper "Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics."

JohnGiorgi/scirepeval

SciRepEval benchmark training and evaluation scripts

JohnGiorgi/scispacy

A full spaCy pipeline and models for scientific/biomedical documents.

JohnGiorgi/SciTagger

Scientific Discourse Tagging with Large Language models

JohnGiorgi/TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

JohnGiorgi/Top100Words

JohnGiorgi/TOPICAL

:magic_wand::page_facing_up: TOPICAL: TOPIC pages AutomagicaLly

JohnGiorgi/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

JohnGiorgi/trl

Train transformer language models with reinforcement learning.