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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
This repository contains the code and models of the paper "AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation"
Setup - Downloading Data and Checkpoints - Training - Pre-trained Checkpoints - Issues - Citation
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.
Setup - Input Data Format - Downloading Data - Usage - Results - Issues - Citation
The main features of devsinghsachan/unsupervised-passage-reranking are: Information Retrieval and Ranking.
Projects with overlapping indexed features include: maiot-io/zenml — ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data… salesforce/augtriever — This repository contains the code and models of the paper "AugTriever: Unsupervised Dense Retrieval by Scalable Data… devsinghsachan/art — Setup - Downloading Data and Checkpoints - Training - Pre-trained Checkpoints - Issues - Citation. timoschick/dino — This repository contains the code for Generating Datasets with Pretrained Language Models. The paper introduces a… zetaalphavector/inpars — Inquisitive Parrots for Search A toolkit for end-to-end synthetic data generation using LLMs for IR. zhiyuanpeng/sptar — SPTAR represents Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models which consists of six…