guoday

Tencent2020_Rank1st

The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

Tencent2019_Preliminary_Rank1st

The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.

CCF-BDCI-Sentiment-Analysis-Baseline

The code for CCF-BDCI-Sentiment-Analysis-Baseline

ICME2019-CTR

The Code for ICME2019 Grand Challenge: Short Video Understanding (Single Model Ranks 6th)

Dialog-to-Action

The code for the 2018 NeurIPS paper "Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base"

CodeBERT

CodeBERT

Question-Generation-VAE

The code for the EMNLP2018 paper "Question Generation from SQL Queries Improves Neural Semantic Parsing"

CSharpGL

:green_apple: Object Oriented OpenGL in C#.

LaPraDoR

🦮 Code and pretrained models for Findings of ACL 2022 paper "LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval"

transformers

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

allennlp

An open-source NLP research library, built on PyTorch.

assert

AutoEncoder-with-pytorch

CodeXGLUE

CodeXGLUE

comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

CppPrimer

:books: Solutions for C++ Primer 5th exercises.

EA-VQ-VAE-1

This repo provides the code for the ACL 2020 paper "Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder"

ember-paper

The Ember approach to Material Design.

EMNLP2019-Split-And-Recombine

The code of EMNLP 2019 paper "A Split-and-Recombine Approach for Follow-up Query Analysis"

javascript

PubNub JavaScript SDK. https://www.pubnub.com/docs/javascript/pubnub-javascript-sdk-v4

LearningToUpdateNLComments

Learning to Update Natural Language Comments Based on Code Changes: Artifact

MSMARCO-Passage-Ranking

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR

ProphetNet

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training https://arxiv.org/pdf/2001.04063.pdf

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

roberta_zh

RoBERTa for Chinese

VideoFeatureExtractor

Video Feature Extractor for S3D-HowTo100M

vision

Datasets, Transforms and Models specific to Computer Vision

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

xlnet_zh

中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large