spatiotemporal_datasets
importeddata/spatiotemporal-datasets
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- analytics · benchmark · data-science · dataset · deep-learning · deepwalk · epidemiology · gcn
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- PDNdeepwalk · gcn
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
- fedbiomedanalytics · dataset
A collaborative learning framework for empowering biomedical research
- AeroPathbenchmark · dataset
:hugs: AeroPath: An airway segmentation benchmark dataset with challenging pathology
- MedMNISTbenchmark · dataset
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
- Covid-19-analysisanalytics · epidemiology
Analysis with Covid-19 data
- COVID19-Italy-Integrated-Surveillance-Datadataset · epidemiology
COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.
- api.github.com/repos/benedekrozemberczki/spatiotemporal_datasetsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-12-28, 64 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/61.json→ .entries["spatiotemporal-datasets"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.