rowedenny

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

torchshow

Visualize PyTorch tensors with a single line of code.

awesome-generative-information-retrieval

Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

RecDebiasing

This repository collects debiasing methods for recommendation

pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

DRhard

SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.

CaaM

[ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition

CAL

[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

pytorchltr

Learning to Rank in PyTorch

RepBERT-Index

RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.

baidu_ultr_dataset

an unbias-learning-to-rank dataset of Baidu

DecRS

Deconfounded Recommendation for Alleviating Bias Amplification

Bayesian-Invariant-Risk-Minmization

This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.

JDsearch

JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions

Tencent_wsdm_cup2023

HODOR

GCoQA

SHPJF

[DASFAA22] Official PyTorch implementation for "Leveraging Search History for Improving Person-Job Fit".

MBC

Mixture-Based Correction (CIKM'21)

iDCF

Implementation of KDD 2023 Debiasing Recommendation by Learning Identifiable Latent Confounders

Vectorization

Code for KDD'22 "Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank".

impatient-bandits

Code for the paper "Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay".

tot

When the Music Stops: Tip-of-the-Tongue Retrieval for Music

Coupled_Estimation_Technique

CIKM'22: Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models

OLTR-intent-change

Scraping-details-of-doctors-from-a-doctor-rating-website

If data is not available in a table or csv, SCRAPE IT!