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Search results for pytorch information retrieval
information-retrieval
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pytorch
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25 search results found
Easyocr
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20,438
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Haystack
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12,474
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Catalyst
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3,151
Accelerated deep learning R&D
Llmware
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1,859
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Beir
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1,370
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Allrank
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722
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Cdqa
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418
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Tevatron
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334
Tevatron - A flexible toolkit for neural retrieval research and development.
Text2text
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268
Text2Text: Crosslingual NLP/G toolkit
Knowledge_graph_based_intent_network
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114
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021
Naacl2018 Fever
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110
Fact Extraction and VERification baseline published in NAACL2018
Drhard
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72
Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track (SIGIR 2021 Full Paper).
Mixgcf
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65
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
Emnlp2020
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53
This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.
Emdr2
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48
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
Repbert Index
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47
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.
Circo
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29
[ICCV 2023] - Composed Image Retrieval on Common Objects in context (CIRCO) dataset
Proqa
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29
Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval
Jpq
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27
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
Text Clf Baselines
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24
WideMLP for Text Classification
Deeprank_pytorch
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16
A simple version of DeepRank & MatchPyramid implemented in PyTorch.
Useb
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12
Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
Scalable Recognition With A Vocabulary Tree
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11
A python implementation of the paper "Scalable Recognition with a Vocabulary Tree, D. Nister, H. Stewenius, 2006"
Extreme Classification
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6
Project Repository for CS6370 : Information Retrieval offered in Fall 2018
Hierarchical Language Modeling
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5
We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.
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