Find research datasets worth reusing
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7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “AI-SPRINT”
Telegraf evaluation for AI-SPRINT Monitoring Subsystem
<p>Performance impact evaluation of the AI‑SPRINT Monitoring Subsystem on a system deployment running the AI‑SPRINT Framework with AI applications</p>
Dataset of the authorisation protocol of the AI-SPRINT project
<p>Dataset concerning the authorisation protocol of the AI-SPRINT European project which was created for performance evaluation purpose</p>
AI-SPRINT GPU STochastic Scheduler
<p>This repository includes the source code and the datasets used to evaluate the GPU STochastic Scheduler developed in the context of the AI-SPRINT project. The corresponding results are included in the AI-SPRINT project deliverable "D3.3 - Second release and evaluation of the runtime environment".</p>
AI-SPRINT SPACE4AI-R Local Search
<p>This repository includes the source code and the evaluation data and results for the Local Search algorithm implemented for the SPACE4AI-R Optimizer framework. An extended discussion is reported in the AI-SPRINT project deliverable "D3.3 - Second release and evaluation of the runtime environment".</p>
Performance Model, Deliverable D2.4 Final Release and Evaluation of the AI-SPRINT Design Tools.
<p>This repository includes the code and results of analysis for predicting unseen layers of the same network and predicting new unseen networks reported in Deliverable D2.4 Final Release and Evaluation of the AI-SPRINT Design Tools<strong>. </strong>The folder is organised as follows:</p> <p>- **pareto** contains the results of the profiling of the networks trained and validated on CIFAR-10</p> <p>- **pareto_onnx** contains the results of the profiling of the networks trained and validated on MNIST</p> <p>- The folders "**network_to_network**" contain the models trained using aMLLibrary for the analysis on unseen networks done using Eduard's data. </p> <p>- **notebook-B5.ipynb** contains the code to perform the analysis on B and C networks</p> <p>- **nextLayerPrediction.ipynb** contains the code to perform the prediction of unseen layers of the same network</p> <p>- **allLayerPrediction.ipynb** contains the code for the analysis on unseen networks</p>
AI-SPRINT GPU Scheduler
<p>This repository includes the source code and the datasets used to evaluate the GPU Scheduler developed in the context of the AI-SPRINT project. The corresponding results are included in the AI-SPRINT project deliverable "D3.1 - First release and evaluation of the runtime environment".</p>
Hierarhical method and Dynamic Programming methods for AI-SPRINT GPU Scheduler
<p>This repository includes the source code and the datasets of the Hierarchical method and the Dynamic Programming methods used to obtain the results reported in the article "Scheduling Deep Learning Jobs Training in the Cloud: Comparing Multiple Approaches". The two methods constitute a part of the GPU Scheduler developed in the context of the AI-SPRINT project.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.