Artidoro Pagnoni

QLoRA: Efficient Finetuning of Quantized LLMs

QLoRA is a research technique and codebase that lets you fine-tune very large AI language models on a single consumer GPU by compressing the model to 4-bit precision and training only small adapter modules attached to the frozen model.

FRANK: Factuality Evaluation Benchmark

Code for "Threat Scenarios and Best Practices for Neural Fake News Detection: A Case Study on COVID"

Models for sentiment analysis including Naive Bayes, Logistic Regression, CBoW, CNN, LSTM, LSTM-CNN applied to SST2

Annotation Platform for FRANK

Scheduling Algorithm for Parallel Processors

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Vector-In Vector-Out: Re-implementation of Sachin Kumar Continuous Output Generation for NMT.

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Text Classification

Code for self-balancing robot using SARSA-lambda and Fourier Basis

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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This repo contains the code for our paper EvEntS ReaLM, to-appear in EMNLP 2022.

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🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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Dataset of GPT-2 outputs for research in detection, biases, and more

SacreROUGE is a library dedicated to the use and development of text generation evaluation metrics with an emphasis on summarization.

.NET bindings for the Pytorch engine

Officially supported AllenNLP models

BeamerPoster Template using UW colors and logo

MOCA (Modular Object-Centric Approach) addresses the task of long horizon instruction following with a modular architecture that decouples a task into visual perception and action policy prediction.

ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Code for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

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A lean, mean, very quickly deployable ExternalQuestion template for Amazon Mechanical Turk. Simplified as a static page.

🛸 spaCy pipelines for pre-trained BERT, XLNet and GPT-2

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

Code for Contextual Affective Analysis:A Case Study of People Portrayals in Online #MeToo Stories (ICWSM 2019)

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Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Topic-Aware Convolutional Neural Networks for Extreme Summarization

Thin wrapper for the AllenNLP's implementation of supervised open information extraction

Topic modeling using LDA.

Detect the bias of a dataset using PMI

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

Analyzing properties of sequence models empirically and theoretically.

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ML.NET is an open source and cross-platform machine learning framework for .NET.

DyNet: The Dynamic Neural Network Toolkit

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Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

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Repository for "Generating Sentences by Editing Prototypes"

http://torch.ch

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Open-Source Neural Machine Translation in Torch

Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

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