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Dataset results
17 results for “VAE”
Sentinel-2 Time Series for Pheno-VAE
<p>This repository contains a SQLite file with Sentinel-2 B4 (red) and B8 (near infra-red) bands time series, used to compute NDVI time series for pheno-VAE : https://gitlab.cesbio.omp.eu/zerahy/pheno-VAE</p> <p> </p>
Benchmarking Micro2Micro Transformation: An Approach with GNN and VAE
<p>This research ventures into the emerging domain of microservice-to-microservice transformation, a novel concept focused on optimizing existing cloud-native systems. We experiment with a machine learning methodology initially designed for monolith-to-microservices migration, adapting it to the complex microservices landscape, with a specific focus on the train-ticket application.</p>
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
Open the record for dataset details and reuse information.
MTS-VAE
<p>This repository accompanies the work "<a href="https://www.biorxiv.org/content/10.1101/2024.08.28.610205v1">Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder</a>". It includes the datasets for model training, validation, and downstream analysis.</p>
Monophonic Electric Guitar Notes to Train a Timbre Generation VAE
<p>This dataset contains a subset of audio files from the <a href="../doi/10.5281/zenodo.11398029" target="_blank" rel="noopener">SemanticTimbreDataset</a> that were used to train a Timbre Generation VAE.</p> <p>Files are organised as follows: Timbre_Group/Timbre_Descriptor/Timbre_Magnitude.</p> <p>The audio files with a timbre magnitude of 0 in the OscillationFX/Fluttery directory are monophonic electric guitar notes recorded from a Fender Stratocaster originally sourced from the EGFxSet [1]. All other audio files are those original clean samples processed through various guitar pedals affecting the sounds at various intensities (timbre magnitude). Each guitar pedal's effect can be described by a separate timbre descriptor. This training dataset contains 19 timbre descriptor groups in total, where each timbre descriptor group contains audio files with timbre magnitudes of 25, 50, 75, and 100.</p> <p> </p> <p>[1] Hegel Pedroza, Gerardo Meza, & Iran R. Roman. (2022). EGFxSet: Electric guitar tones processed through real effects of distortion, modulation, delay and reverb (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7044411</p>
VAE-Generated Monophonic Electric Guitar Notes
<p>This dataset contains audio files of monophonic electric guitar notes generated by a Timbre Generation Variational Autoencoder (VAE).</p> <p>The Timbre Generation VAE was prompted to generate E4 electric guitar notes with varying timbral characteristics via each of the 20 timbre descriptors present within the <a href="../doi/10.5281/zenodo.11398029" target="_blank" rel="noopener">SemanticTimbreDataset</a>, leading to the sounds in the `generated' folders contained within the VAE-GeneratedTestSet folder. The original sounds are provided in the `original' folders for comparison to the VAE-generated sounds.</p> <p>Furthermore, 10 5-point linear interpolations were performed between points in the Timbre Generation VAE's latent space, leading to the sounds in the `generated' folders contained within the VAE-InterpolatedTestSet folder. The interpolations' original start and target sounds are provided in the `original' folders for comparison to the VAE-generated sounds. These 10 interpolations were:</p> <ul> <li>Clean E4 Note (Timbre Magnitude 100) to Fuzzy E4 Note (Timbre Magnitude 100)</li> <li>Resonant E4 Note (Timbre Magnitude 100) to Thin E4 Note (Timbre Magnitude 100)</li> <li>Punchy E4 Note (Timbre Magnitude 100) to Soft E4 Note (Timbre Magnitude 100)</li> <li>Shimmery E4 Note (Timbre Magnitude 100) to Jittery E4 Note (Timbre Magnitude 100)</li> <li>Fuzzy E4 Note (Timbre Magnitude 100) to Thin E4 Note (Timbre Magnitude 100)</li> <li>Fuzzy E4 Note (Timbre Magnitude 100) to Soft E4 Note (Timbre Magnitude 100)</li> <li>Fuzzy E4 Note (Timbre Magnitude 100) to Shimmery E4 Note (Timbre Magnitude 100)</li> <li>Thin E4 Note (Timbre Magnitude 100) to Soft E4 Note (Timbre Magnitude 100)</li> <li>Thin E4 Note (Timbre Magnitude 100) to Shimmery E4 Note (Timbre Magnitude 100)</li> <li>Soft E4 Note (Timbre Magnitude 100) to Shimmery E4 Note (Timbre Magnitude 100)</li> </ul>
csi-vae dataset
<p>This dataset contains the data used in the paper "Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data" (FUSION 2023) and "Learning to Sense: A Principled Approach to Wi-Fi Sensing Using Variational Auto-Encoders" (submitted to IEEE Transactions on Mobile Computing).</p> <ul> <li><strong>latent_space_dataset.zip </strong>contains data already processed by the variational autoencoders</li> <li><strong>KERAS_models.zip</strong> contains the weights of the EDL/MLP models used in the FUSION paper</li> <li><strong>VAE_models.zip</strong> contains the weights of the VAE models</li> </ul> <p>Version 1.0 includes the data from 5 activities used in our FUSION 2023 paper. Version 2.0 also includes the data from 12 different activities and the weights of different classifiers in <strong>models_12activities.zip</strong></p> <p> </p>
Classes in ftgo-microservice and VAE-C decomposition
<p>This table shows the original classes in the ftgo-microservice application and the decomposition predicted by the approach using a variational autoencoder with C-means (VAE-C). </p>
Vacuum-Assisted Evacuation (VAE) Of Symptomatic and/or Voluminous Breast Haematomas Following Surgeries And Percutaneous Procedures: a Retrospective Analysis
ClinicalTrials.gov study NCT05665894. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Application of Ventilator-Associated Events (VAE) in Ventilator-Associated Pneumonia (VAP) Notified in Brazil
ClinicalTrials.gov study NCT05589727. IPD Sharing: NO. Countries: 1. Publications: 11.
STEM VAE weights by beta
<p>Weights corresponding to VAE model training for vortex domain data.</p>
Supplementary material 1 from: Nentwig W, Vaes-Petignat S (2014) Environmental and economic impact of alien terrestrial arthropods in Europe. NeoBiota 22: 23-42. https://doi.org/10.3897/neobiota.22.6620
Handbook of the scoring system for the impacts of alien species:
Supplementary material 2 from: Nentwig W, Vaes-Petignat S (2014) Environmental and economic impact of alien terrestrial arthropods in Europe. NeoBiota 22: 23-42. https://doi.org/10.3897/neobiota.22.6620
Literature used to score 77 terrestrial arthropod species:
vae_downscaling
<p>VAE downcaling inferrence code</p>
Font dataset from training VAEs
<p><a href="https://erikbern.com/2016/01/21/analyzing-50k-fonts-using-deep-neural-networks.html">https://erikbern.com/2016/01/21/analyzing-50k-fonts-using-deep-neural-networks.html</a></p>
PILOT-GM-VAE: Patient-Level Analysis of Single Cell Disease Atlas with Optimal Transport of Gaussian Mixtures Variational Autoencoders
<p><strong>Datasets for PILOT-GM-VAE.<br>This part of the data includes Breast Cancer, Kidney_KPMP(only kidney tissue and all samples), Myocardial Infarction(2), and Kidney Cancer.<br>Please for more details read the data sets section of the paper.</strong></p>
M cell, FAE and VAE expresssion profiles
GEO Series GSE3434. Mus musculus. 4 samples. Type: Expression profiling by array.
ScienceDex guides
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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.