zhengyima

DHAP

Source code of SIGIR2021 Paper 'One Chatbot Per Person: Creating Personalized Chatbots based on Implicit Profiles'

DTW_Digital_Voice_Recognition

基于DTW与MFCC特征进行数字0-9的语音识别，DTW，MFCC，语音识别，中英数据，端点检测，Digital Voice Recognition。

GMM_Digital_Voice_Recognition

基于GMM与MFCC特征进行数字0-9的语音识别，GMM，MFCC，语音识别，中文数据，sklearn，Digital Voice Recognition。

Anchors

Source code of CIKM2021 Paper 'Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need'

paperlist_nlp_ir_rec_ai_conference

2016-至今nlp/ir/recsys/ai相关顶会的论文清单paperlist列表含目录，方便直接搜索关键字。包括AAAI/ACL/EMNLP/IJCAI/SIGIR/CIKM/WSDM/WWW/NIPS/COLING

HMM_Digital_Voice_Recognition

基于HMM与MFCC特征进行数字0-9的语音识别，HMM，GMMHMM，MFCC，语音识别，sklearn，Digital Voice Recognition。

knowqa

预训练模型知识量度量竞赛 Baseline F1 0.35 BERTForMaskedLM

pretrain4ir_tutorial

NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking

zhengyima.github.io

homepage of me

WeiboSensor

WeiboSensor 微博探针 前端

RICHRUCOnline

跨机器网络对战的分布式 人大版大富翁游戏。

ss

zhengyima

bert

TensorFlow code and pre-trained models for BERT

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

ddp

ddp tutorial

github-readme-stats

:zap: Dynamically generated stats for your github readmes

GitHubGraduation-2022

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

heinrichreimer

GitHub public profile.

lr

逻辑回归

Menci

My GitHub homepage

mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

MSMARCO-Document-Ranking-Submissions

Submission archive for the MS MARCO document ranking leaderboard

pyclass

homework of python class

RepCONC

WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Reranker

Build Text Rerankers with Deep Language Models

ruccampus

SIGIR2021-Pchatbot

transformers

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

UMS-ResSel

PyTorch Implementation for AAAI'21 "Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection"