The code for two papers: Feedback Transformer and Expire-Span.

Overview

transformer-sequential

This repo contains the code for two papers:

  • Feedback Transformer
  • Expire-Span

The training code is structured for long sequential modeling with Transformer-like architectures.

Requirements

You will need a CUDA-enabled GPU to run the code.

Setup

Run the following:

pip install -r requirements.txt

Feedback Transformer

Introduced in Addressing Some Limitations of Transformers with Feedback Memory.

Running Experiments from the Paper

enwik8

Model Params Valid Test
Feedback Transformer 77M 0.984 0.962

Numbers are Bits-Per-Character

bash experiments/feedback/enwik8.sh

Algorithmic

Model 3 Variable 5 Variable
Transformer 33.7 37.5
Feedback Transformer 99.1 92.6

Numbers are % Accuracy on Test

bash experiments/feedback/algorithmic_3var.sh
bash experiments/feedback/algorithmic_5var.sh

Expire-Span

Introduced in Not All Memories are Created Equal: Learning to Expire.

Running Experiments from the Paper

enwik8

Model Params Valid Test
Expire-Span 12L 38M 1.014 0.994

Numbers are Bits-Per-Character

bash experiments/expire_span/enwik8.sh

Object Collision

Model Maximum Span Test Error (%)
Expire-Span 16k 52.2
Expire-Span 32k 36.7
Expire-Span 64k 26.7
bash experiments/expire_span/object_collision_16k.sh
bash experiments/expire_span/object_collision_32k.sh
bash experiments/expire_span/object_collision_64k.sh

License

The code is licensed under CC-BY-NC license. See the LICENSE file for more details.

Owner
Meta Research
Meta Research
Every Google, Azure & IBM text to speech voice for free

TTS-Grabber Quick thing i made about a year ago to download any text with any tts voice, over 630 voices to choose from currently. It will split the i

16 Dec 07, 2022
Pre-training BERT masked language models with custom vocabulary

Pre-training BERT Masked Language Models (MLM) This repository contains the method to pre-train a BERT model using custom vocabulary. It was used to p

Stella Douka 14 Nov 02, 2022
Exploration of BERT-based models on twitter sentiment classifications

twitter-sentiment-analysis Explore the relationship between twitter sentiment of Tesla and its stock price/return. Explore the effect of different BER

Sammy Cui 2 Oct 02, 2022
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

A sample Python project A sample project that exists as an aid to the Python Packaging User Guide's Tutorial on Packaging and Distributing Projects. T

Python Packaging Authority 4.5k Dec 30, 2022
An Explainable Leaderboard for NLP

ExplainaBoard: An Explainable Leaderboard for NLP Introduction | Website | Download | Backend | Paper | Video | Bib Introduction ExplainaBoard is an i

NeuLab 319 Dec 20, 2022
Random Directed Acyclic Graph Generator

DAG_Generator Random Directed Acyclic Graph Generator verison1.0 简介 工作流通常由DAG(有向无环图)来定义,其中每个计算任务$T_i$由一个顶点(node,task,vertex)表示。同时,任务之间的每个数据或控制依赖性由一条加权

Livion 17 Dec 27, 2022
TweebankNLP - Pre-trained Tweet NLP Pipeline (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Models + Tweebank-NER

TweebankNLP This repo contains the new Tweebank-NER dataset and off-the-shelf Twitter-Stanza pipeline for state-of-the-art Tweet NLP, as described in

Laboratory for Social Machines 84 Dec 20, 2022
NLP-Project - Used an API to scrape 2000 reddit posts, then used NLP analysis and created a classification model to mixed succcess

Project 3: Web APIs & NLP Problem Statement How do r/Libertarian and r/Neoliberal differ on Biden post-inaguration? The goal of the project is to see

Adam Muhammad Klesc 2 Mar 29, 2022
The entmax mapping and its loss, a family of sparse softmax alternatives.

entmax This package provides a pytorch implementation of entmax and entmax losses: a sparse family of probability mappings and corresponding loss func

DeepSPIN 330 Dec 22, 2022
This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs".

CrossSum This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summ

BUET CSE NLP Group 29 Nov 19, 2022
A machine learning model for analyzing text for user sentiment and determine whether its a positive, neutral, or negative review.

Sentiment Analysis on Yelp's Dataset Author: Roberto Sanchez, Talent Path: D1 Group Docker Deployment: Deployment of this application can be found her

Roberto Sanchez 0 Aug 04, 2021
GPT-Code-Clippy (GPT-CC) is an open source version of GitHub Copilot, a language model

GPT-Code-Clippy (GPT-CC) is an open source version of GitHub Copilot, a language model -- based on GPT-3, called GPT-Codex -- that is fine-tuned on publicly available code from GitHub.

Nathan Cooper 2.3k Jan 01, 2023
Ray-based parallel data preprocessing for NLP and ML.

Wrangl Ray-based parallel data preprocessing for NLP and ML. pip install wrangl # for latest pip install git+https://github.com/vzhong/wrangl See exa

Victor Zhong 33 Dec 27, 2022
Fastseq 基于ONNXRUNTIME的文本生成加速框架

Fastseq 基于ONNXRUNTIME的文本生成加速框架

Jun Gao 9 Nov 09, 2021
AudioCLIP Extending CLIP to Image, Text and Audio

AudioCLIP Extending CLIP to Image, Text and Audio This repository contains implementation of the models described in the paper arXiv:2106.13043. This

458 Jan 02, 2023
Задания КЕГЭ по информатике 2021 на Python

КЕГЭ 2021 на Python В этом репозитории мои решения типовых заданий КЕГЭ по информатике в 2021 году, БЕСПЛАТНО! Задания Взяты с https://inf-ege.sdamgia

8 Oct 13, 2022
Milaan Parmar / Милан пармар / _米兰 帕尔马 170 Dec 13, 2022
Code for ACL 2022 main conference paper "STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation".

STEMM: Self-learning with Speech-Text Manifold Mixup for Speech Translation This is a PyTorch implementation for the ACL 2022 main conference paper ST

ICTNLP 29 Oct 16, 2022
Code for our paper "Transfer Learning for Sequence Generation: from Single-source to Multi-source" in ACL 2021.

TRICE: a task-agnostic transferring framework for multi-source sequence generation This is the source code of our work Transfer Learning for Sequence

THUNLP-MT 9 Jun 27, 2022
Transformers implementation for Fall 2021 Clinic

Installation Download miniconda3 if not already installed You can check by running typing conda in command prompt. Use conda to create an environment

Aakash Tripathi 1 Oct 28, 2021