Silvia Terragni (silviatti)

silviatti

Geek Repo

Company:Objective, Inc

Home Page:http://silviatti.github.io/

Twitter:@terragnisilvia

Github PK Tool:Github PK Tool

Silvia Terragni's starred repositories

textgrad

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

Language:PythonLicense:MITStargazers:1232Issues:19Issues:43

contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Language:PythonLicense:MITStargazers:1188Issues:17Issues:108

OCTIS

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Language:PythonLicense:MITStargazers:706Issues:14Issues:102

reclist

Behavioral "black-box" testing for recommender systems

Language:PythonLicense:MITStargazers:454Issues:10Issues:15

ranx

⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

Language:PythonLicense:MITStargazers:397Issues:11Issues:56

plip

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

vision-language-models-are-bows

Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023

Language:PythonLicense:MITStargazers:219Issues:8Issues:37

ferret

A python package for benchmarking interpretability techniques on Transformers.

Language:PythonLicense:MITStargazers:206Issues:1Issues:21

clip-italian

CLIP (Contrastive Language–Image Pre-training) for Italian

Language:Jupyter NotebookStargazers:175Issues:6Issues:24

sandbox-conversant-lib

Conversational AI tooling & personas built on Cohere's LLMs

Language:PythonLicense:MITStargazers:172Issues:12Issues:22
Language:PythonLicense:Apache-2.0Stargazers:102Issues:5Issues:74

nlg-metricverse

[COLING22] An End-to-End Library for Evaluating Natural Language Generation

Language:PythonLicense:MITStargazers:85Issues:3Issues:6

twitter-demographer

A python package to enrich Twitter Data

Language:PythonLicense:MITStargazers:73Issues:3Issues:7

evalRS-CIKM-2022

Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems

Language:Jupyter NotebookLicense:MITStargazers:67Issues:7Issues:4

safety-tuned-llamas

ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.

Language:Jupyter NotebookLicense:MITStargazers:48Issues:5Issues:3

topic-labeling

The project proposes a framework to apply topic models on a text-corpus and eventually topic labels on the generated topics.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:35Issues:5Issues:1

OpenDF

Code to reproduce LREC Paper Simplifying Semantic Annotations of SMCalFlow

Language:PythonLicense:MITStargazers:24Issues:6Issues:23
Language:PythonLicense:MITStargazers:22Issues:2Issues:0

prompt-based-user-simulator

In-Context Learning User Simulators for Task-Oriented Dialog Systems

Language:PythonLicense:Apache-2.0Stargazers:22Issues:1Issues:0

BART-TL-topic-label-generation

Implementation and helper scripts for the BART-TL model - https://www.aclweb.org/anthology/2021.eacl-main.121/

Language:PythonLicense:MITStargazers:16Issues:3Issues:4
License:Apache-2.0Stargazers:10Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:9Issues:0Issues:0

antor

Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning, COLING 2022

Language:Jupyter NotebookStargazers:7Issues:2Issues:0

1passel

1passel is a very simple tool to integrate 1password into emacs.

Language:Emacs LispLicense:GPL-3.0Stargazers:3Issues:2Issues:0

sweat

A statistical measure of relative semantic polarization for pairs of textual corpora. EMNLP2021.

Language:PythonStargazers:3Issues:0Issues:0
Language:PythonLicense:MITStargazers:2Issues:4Issues:0