Heisenberg-Yin

RAG-Survey

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

cohesive_subgraph_bipartite

This is an efficient algorithm for maximal biclique enumeration

MBEA

C++ implementation of the Maximal Biclique Enumeration Algorithm

WEAVESS

A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search

hnswlib

Header-only C++/python library for fast approximate nearest neighbors

nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Redundancy-Free-Graph-Neural-Networks

GPTCache

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Awesome-Information-Bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

L2C

Learning to Cluster. A deep clustering strategy.

SOSD

A Benchmark for Learned Indexes

LibVQ

bert-downstream-framework

a framework containing various NLP tasks using bert

AR2

SimXNS

SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.

preprint-template.tex

A template for two-column scientific preprints

DRhard

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

bpr

Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering

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.

MatchZoo-py

Facilitating the design, comparison and sharing of deep text matching models.

Pretrained-Language-Model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

ALEX

A library for building an in-memory, Adaptive Learned indEX

RTree

N-dimensional RTree implementation in C++

RecSysPapers

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

ai-deadlines

:alarm_clock: AI conference deadline countdowns

DeepTables

DeepTables: Deep-learning Toolkit for Tabular data

dien

RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

RecSys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估