ZKRS

faiss

A library for efficient similarity search and clustering of dense vectors.

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

stopwords

中文常用停用词表（哈工大停用词表、百度停用词表等）

nlp_paper_study

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

GLM

GLM (General Language Model)

ColBERT

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

ssr-command-client

:airplane:The commend client of ssr based Python3

splade

SPLADE: sparse neural search (SIGIR21, SIGIR22)

faiss_tips

Some useful tips for faiss

word-discovery

速度更快、效果更好的中文新词发现

tevatron

Tevatron - A flexible toolkit for neural retrieval research and development.

faiss_note

faiss wiki in chinese.

feder

Visualize hnsw, faiss and other anns index

Semantic-Retrieval-Models

A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).

DiffCSE

Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

DRhard

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

Text-GCN

A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)

ICLR2023-OpenReviewData

ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference

faiss-learning

faiss学习总结

HLATR

Implementation of paper: HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking

dhr

Dense hybrid representations for text retrieval

wordiscovery

Chinese new word discovery

paper_project

论文模型复现

ir

ConTextual Mask Auto-Encoder for Dense Passage Retrieval

COSTA

SIGIR'2022, Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction

kenlm

KenLM: Faster and Smaller Language Model Queries

word-discovery

速度更快、效果更好的中文新词发现

ReContriever

Implementation for ACL 2023 Findings paper "Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training"

UnifieR