Alternatives and similar repositories for matchmaker:

Users that are interested in matchmaker are comparing it to the libraries listed below

• castorini / docTTTTTquery
  docTTTTTquery document expansion model
  ☆364Updated 2 years ago
• Georgetown-IR-Lab / OpenNIR
  An end-to-end neural ad-hoc ranking pipeline.
  ☆150Updated 3 weeks ago
• sebastian-hofstaetter / neural-ranking-kd
  Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
  ☆110Updated 3 years ago
• luyug / COIL
  NAACL2021 - COIL Contextualized Lexical Retriever
  ☆152Updated 3 years ago
• luyug / Condenser
  EMNLP 2021 - Pre-training architectures for dense retrieval
  ☆251Updated 3 years ago
• caiyinqiong / Semantic-Retrieval-Models
  A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Re…
  ☆323Updated last year
• castorini / pygaggle
  a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini
  ☆350Updated last year
• luyug / Reranker
  Build Text Rerankers with Deep Language Models
  ☆262Updated last year
• microsoft / ANCE
  A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
  ☆371Updated last year
• allenai / ir_datasets
  Provides a common interface to many IR ranking datasets.
  ☆352Updated last week
• Guzpenha / transformer_rankers
  A library to conduct ranking experiments with transformers.
  ☆161Updated last year
• oaqa / FlexNeuART
  Flexible classic and NeurAl Retrieval Toolkit
  ☆217Updated 2 months ago
• cvangysel / pytrec_eval
  pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.
  ☆306Updated last year
• castorini / duobert
  Multi-stage passage ranking: monoBERT + duoBERT
  ☆112Updated 4 years ago
• facebookresearch / SEAL
  Search Engines with Autoregressive Language models
  ☆284Updated 2 years ago
• capreolus-ir / capreolus
  A toolkit for end-to-end neural ad hoc retrieval
  ☆96Updated 8 months ago
• nyu-dl / dl4ir-doc2query
  ☆162Updated 4 years ago
• jingtaozhan / RepBERT-Index
  RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings…
  ☆66Updated 3 years ago
• Georgetown-IR-Lab / cedr
  Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.
  ☆155Updated 4 years ago
• sebastian-hofstaetter / tas-balanced-dense-retrieval
  SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
  ☆59Updated 3 years ago
• microsoft / MSMARCO-Passage-Ranking
  MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, …
  ☆319Updated last year
• thongnt99 / learned-sparse-retrieval
  Unified Learned Sparse Retrieval Framework
  ☆64Updated 11 months ago
• joaopalotti / trectools
  A simple toolkit to process TREC files in Python.
  ☆167Updated 8 months ago
• nyu-dl / dl4marco-bert
  ☆479Updated 3 years ago
• daltonj / treccastweb
  ☆82Updated last year
• AdeDZY / DeepCT
  DeepCT and HDCT uses BERT to generate novel, context-aware bag-of-words term weights for documents and queries.
  ☆320Updated 3 years ago
• castorini / birch
  Document ranking via sentence modeling using BERT
  ☆144Updated 2 years ago
• studio-ousia / bpr
  Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering
  ☆170Updated 3 years ago
• amzn / trans-encoder
  Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
  ☆132Updated last week
• microsoft / MSMARCO-Question-Answering
  MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answerin…
  ☆215Updated last year