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Back to salesforce/augtriever

Open-source alternatives to AugTriever

14 open-source projects similar to salesforce/augtriever, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best AugTriever alternative.

  • zetaalphavector/inparsZ

    zetaalphavector/inpars

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

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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

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  • 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
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  • jiacheng-ye/zerogenjiacheng-ye avatar

    jiacheng-ye/ZeroGen

    47View on GitHub↗

    This repository contains the code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”. Our implementation is built on the source code from dino. Thanks for their work.

    Python
    View on GitHub↗47
  • sumilergao/sungenSumilerGAO avatar

    SumilerGAO/SunGen

    28View on GitHub↗

    This repository contains the code for our paper “SunGen: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning”.

    Python
    View on GitHub↗28
  • sunnweiwei/rankgptsunnweiwei avatar

    sunnweiwei/RankGPT

    669View on GitHub↗

    Code for paper "Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent"

    Python
    View on GitHub↗669
  • thunlp/ultrachatthunlp avatar

    thunlp/UltraChat

    2,786View on GitHub↗

    UltraChat is a collection of large-scale conversational datasets and instruction-tuning data designed for training and evaluating generative AI models. It provides structured JSON data consisting of complex, multi-round dialogue sequences intended to refine the performance of large language models in chat tasks. The project focuses on improving reasoning and response quality through a diverse set of interactions across multiple sectors. These datasets are used for supervised fine-tuning and instruction tuning workflows to improve how models follow complex directions and maintain context acros

    Pythonchatbotchatgptdeep-learning
    View on GitHub↗2,786
  • timoschick/dinotimoschick avatar

    timoschick/dino

    189View on GitHub↗

    This repository contains the code for Generating Datasets with Pretrained Language Models. The paper introduces a method called D atasets from In structi o ns (D INO 🦕) that enables pretrained language models to generate entire datasets from scratch.

    Python
    View on GitHub↗189
  • codefuse-ai/mftcodercodefuse-ai avatar

    codefuse-ai/MFTCoder

    714View on GitHub↗

    High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.

    Python
    View on GitHub↗714
  • zhiyuanpeng/sptarzhiyuanpeng avatar

    zhiyuanpeng/SPTAR

    16View on GitHub↗

    SPTAR represents Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models which consists of six modules as shown in the following image:

    Jupyter Notebook
    View on GitHub↗16
  • devsinghsachan/artDevSinghSachan avatar

    DevSinghSachan/art

    62View on GitHub↗

    Setup - Downloading Data and Checkpoints - Training - Pre-trained Checkpoints - Issues - Citation

    Python
    View on GitHub↗62
  • devsinghsachan/unsupervised-passage-rerankingDevSinghSachan avatar

    DevSinghSachan/unsupervised-passage-reranking

    101View on GitHub↗

    Setup - Input Data Format - Downloading Data - Usage - Results - Issues - Citation

    Python
    View on GitHub↗101
  • ise-uiuc/magicoderI

    ise-uiuc/magicoder

    0View on GitHub↗

    🎩 Models | 📚 Dataset | 🚀 Quick Start | 👀 Demo | 📝 Citation | 🙏 Acknowledgements

    View on GitHub↗0