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cnn-dailymail

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

codespaces-jupyter

Explore machine learning and data science with Codespaces

csrankings

A web app for ranking computer science departments according to their research output in selective venues.

darknet

Convolutional Neural Networks

dnlc

DNLC: Differential Network Local Consistency Analysis

eli5

Scripts and links to recreate the ELI5 dataset.

few-shot-learning

Few-shot Learning of GPT-3

gpt-4-llm

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

hiersumm

Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019

how-many-movies-in-amazon

Data warehouse course project

jemdoc

Light text markup for creating websites

linux-netspeed

将Linux现常用的网络加速集成在一起

math-model-2015

mats

Supplementary file of paper: A Multi-task Learning Framework for Abstractive Text Summarization

megatron-deepspeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

microsoftacademicnovae

Top3 Solution to Beauty of Programming 2016, MSRA

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mpitutorial

MPI programming lessons in C and executable code examples

multi-news

Large-scale multi-document summarization dataset and code

multi-xscience

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nmt-tips

A tutorial about neural machine translation including tips on building practical systems

ofet

ordered-prompt

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

prompt

random-prompt

Code and supplementary document