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acl-anthology-corpus

This repository provides details and links to the ACL anthology corpus/collection including .bib, .pdf and grobid extractions of the pdfs

aclpubcheck

Tools for checking ACL paper submissions

alphafold

Open source code for AlphaFold.

animatable-3d-gaussian

animatediff

Official implementation of AnimateDiff.

anli

Adversarial Natural Language Inference Benchmark

backdoor_nlg

bert_score

BERT score for text generation

bookcorpus

Crawl BookCorpus

camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

chinesebert

chineseblue

Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

cifar10-fast

clip

Contrastive Language-Image Pretraining

cocoapi

COCO API - Dataset @ http://cocodataset.org/

colbert

ColBERT: Contextualized Late Interaction over BERT (SIGIR'20)

corefqa

This repo contains the code for ACL2020 paper "Coreference Resolution as Query-based Span Prediction"

corefqa-pytorch

A PyTorch implementation of the CorefQA Model.

cs224u

Code for Stanford CS224u

dall-e

PyTorch package for the discrete VAE used for DALL·E.

data

datasets

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

deduplicate-text-datasets

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

delight

DeLighT: Very Deep and Light-Weight Transformers

dice_loss_for_nlp

The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`

dictionary_crawler

This is a python code based on Scrapy package to crawl famous online dictionaries like Oxford, Longman, Cambridge, Webster, and Collins to make a dataset

did_tutorial

Tutorial on the implementation of difference-in-difference analyses for estimating the effect of a group-level treatment among the treated.