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salesforce/AugTrieverArchived

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AugTriever

This repository contains the code and models of the paper "AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation"

Features

  • Data Curation - Scales data augmentation for unsupervised dense retrieval tasks.

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  • Information Retrieval and Ranking - Performs unsupervised dense retrieval via data augmentation.
  • 4 stars·1 fork·Python·BSD-3-Clause·11 views

    Star history

    Star history chart for salesforce/augtrieverStar history chart for salesforce/augtriever

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Projects sharing features with AugTriever

    These projects share indexed features with AugTriever. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • zetaalphavector/inparszetaalphavector avatar

      zetaalphavector/inpars

      201View on GitHub↗

      Inquisitive Parrots for Search A toolkit for end-to-end synthetic data generation using LLMs for IR

      Python
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    • openlm-research/open_llamaopenlm-research avatar

      openlm-research/open_llama

      7,526View on GitHub↗

      Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensed alternative to proprietary weights. It serves as a base model reproduction of the Llama architecture, providing a set of weights for a decoder-only transformer. The project provides a transparently trained model based on the RedPajama dataset, supporting unrestricted commercial and research use. It includes systems for serving pre-trained weights in various sizes. The project covers natural language processing research and performance benchmarking through text quality evaluation

      View on GitHub↗7,526
    • humansignal/labelimgHumanSignal avatar

      HumanSignal/labelImg

      25,015View on GitHub↗

      labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets for machine learning models. It functions as a desktop utility for drawing rectangular labels on images and saving object coordinates and class names in common machine learning formats. The tool is specifically designed to generate and edit PascalVOC formatted XML files and create image labels in the text-based format required by YOLO object detection pipelines. The software covers object detection annotation and training data preparation, including the ability to manage label catego

      Pythonannotationsdeep-learningdetection
      View on GitHub↗25,015
    • maiot-io/zenmlmaiot-io avatar

      maiot-io/zenml

      5,452View on GitHub↗

      ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

      Python
      View on GitHub↗5,452
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    Frequently asked questions

    What does salesforce/augtriever do?

    This repository contains the code and models of the paper "AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation"

    What are the main features of salesforce/augtriever?

    The main features of salesforce/augtriever are: Data Curation, Information Retrieval and Ranking.

    Which projects share features with salesforce/augtriever?

    Projects with overlapping indexed features include: zetaalphavector/inpars — Inquisitive Parrots for Search A toolkit for end-to-end synthetic data generation using LLMs for IR. openlm-research/open_llama — Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensed… humansignal/labelimg — labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets for… maiot-io/zenml — ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data… jiacheng-ye/zerogen — This repository contains the code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”. Our… devsinghsachan/unsupervised-passage-reranking — Setup - Input Data Format - Downloading Data - Usage - Results - Issues - Citation.