Dataset repository covering life, with searchable datasets.
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Research data portal for exploring geosciences records, including datasets.
Dataset repository covering basic in biology and medicine, with searchable datasets.
Aware-Online helps research websites, public data, search results, or online communities.
Block explorer for Datagram, showing transactions, blocks, addresses, tokens, and network activity.
Dataset repository covering atmospheric, oceanography and climate, with searchable datasets.
Searchable repository for finding biology datasets and datasets.
Browse research datasets and datasets related to basic in biology and medicine.
Browse research datasets and datasets related to atmospheric, oceanography and climate.
Browse research datasets and datasets related to geophysics and geodesy.
Dataset repository covering biology, with searchable datasets.
Analyzes structured data and helps produce queries, insights or visualizations.
Browse research datasets and image related to atmospheric, oceanography and climate.
Self Organizing Map written in Python (Uses neural networks for data analysis).
Dataset repository covering computer, with searchable datasets.
Searchable repository for finding animal physiology and biochemistry datasets and dataset.
Minimalist neural network library optimized for sparse data and single machine environments.
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
datahoarder-website-to-markdown is an open source project with code, documentation, and setup resources for web archiving and scraping.
Simple, realtime visualization of neural network training performance.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
Bibliographic database for finding publications, citations and scholarly records.
L2BEAT tracks specialized crypto metrics such as networks, unlocks, staking, or tokenized assets.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.