Python: Access datasets using the Vega Datasets Python package. Julia: Utilize the VegaDatasets.jl package for Julia integrations. Available Datasets Repository highlights include: Geographic data (world maps, U
You can use 🤗 Datasets to load datasets based on Python code defined by the dataset authors to parse certain data formats or structures. For security reasons, this feature is disabled by default and requires passing trust_remote_code=True. In this case we also ask users that want to load...
For more information, see Manage users and roles. Use sample pipelines The designer saves a copy of the sample pipelines to your studio workspace. You can edit the pipeline to adapt it to your needs and save it as your own. Use them as a starting point to jumpstart your projects. Here'...
For more information, see Mount advanced settings. Dynamic mounting Use PAI SDK to mount a dataset of the OSS, general-purpose NAS, or extreme NAS type, or a storage path to a DSW instance without the need to restart the instance. Make preparations Install the PAI SDK for Python in the ...
WorldPop: High-resolution, contemporary data on population across Africa, Asia and Central/Southern America. Combines the AfriPop, AmeriPop and AsiaPop projects. High Resolution Settlement Layer: Estimates of human population at approximately 30m resolution, for 2015. ...
Create a data labeling project for image labeling or text labeling. Machine Learning supports data labeling projects for image classification, either multi-label or multi-class, and object identification together with bounded boxes.PrerequisitesAn Azure subscription. If you don’t have an Azure ...
usage, we will enrich metadata by registering ETDs that are selected for different datasets and papers. For example, we will mark ETDs used in the ETD500, ScanBank, and ChapterParse datasets. This will allow future projects to access the enriched metadata and other derived data (see below)...
iv). Values of each peak (or bin) were normalized to the range of 0-1 within each batch by the MaxAbsScaler function in the scikit-learn package in Python. The processed matrix was used as input for the SCALEX model. Preprocessing for cross-modality data (scRNA-seq and scATAC-seq) ...
Our detailed description can serve as a reference for similar projects requiring particular strategies for single- or multiple-organelle analysis, which can be achieved with computational resources commonly available to single-user setups. Key points This protocol provides a pipeline for analyzing volume...
For more information, see Manage users and roles. Use sample pipelines The designer saves a copy of the sample pipelines to your studio workspace. You can edit the pipeline to adapt it to your needs and save it as your own. Use them as a starting point to jumpstart your projects. Here'...