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212 results for “fine tuning”
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
<p>We have provided some fine-tuned model checkpoints and datasets to help readers reproduce the experiments presented in the paper.</p>
Data Supporting The Paper 'Fine-tuned spatiotemporal dynamics of DNA replication during phage lambda infection'
<p>The dataset includes raw images, source code, raw vectors saved from MATLAB, and curated data used to generate figures and analyses in the paper <strong>'Fine-tuned spatiotemporal dynamics of DNA replication during phage lambda infection'</strong> by Z. Yu, et al.</p> <p>Additional information about the experiments will be available upon request. </p>
Supplementary data for eEDM study in thesis 'Low energy observables and fine-tuning in the MSSM'
<p>For the eEDM study in Chapter 5 of the thesis 'Low energy observables and fine-tuning in the MSSM' we have created several input sets, one for each run. These can be found as 'input_iter[x].csv' and are used to created a SPheno input file. The code to run all the software is found in the directory 'Spheno_to_eEDM'. A description of this code can be found in the thesis (DOI will follow upon succesful defense).</p> <p>For each iteration we have gathered the relevant output (masses, couplings, mixing matrices, observables, fine-tuning etc) from the different output files. These are stored in csv files, gathered in eEDMdata.tar . One line in the output file corresponds to one line in the original input file, where the directory name (dir_name) in the output file is the same as the index of the input file. This is one data point of the study.</p>
No More In-Context Learning? Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
<p>Data and models part of the replication package of the ICSE 24 submission entitled "<em>No More In-Context Learning? Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models</em>".</p>
Data and code for ""Smoking gun" signatures of topological milestones in trivial materials by measurement fine-tuning and data postselection"
<p><strong>Brief description</strong></p> <p>This repository contains data, code, and other materials for ""Smoking gun" signatures of topological milestones in trivial materials by measurement fine-tuning and data postselection". Files are zipped by project.</p> <p><strong>Data formats</strong></p> <ul> <li>MTX: A simple 2D/3D matrix format developed for <a href="https://nsweb.tn.tudelft.nl/~gsteele/spyview/">Spyview</a>.</li> <li>DAT: Plain-text tabular data.<br> DAT and MTX files can be plotted with Spyview, qtplot (a portable version for Windows can be downloaded <a href="https://github.com/cover-me/qtplot/releases/download/2020.09.21/qt_plot.2020.09.21.7z">here</a>), Jupyter notebooks in ZIP files or <a href="https://github.com/cover-me/qtview">here</a>.</li> <li>SET: Instrument settings.</li> <li>PY: Measurement scripts.</li> <li>IPYNB or HTML: Jupyter notebooks with code and figures. IPYNB can be previewed on this <a href="https://kokes.github.io/nbviewer.js/viewer.html">page</a>.</li> </ul> <p><strong>Additional repositories</strong></p> <p>MATLAB codes for theoretical simulations in Ref 63: https://github.com/frolovgroup/</p> <p>Full data and code from the Shapiro step project: [https://zenodo.org/record/6416083](Data and code for "smash junction" papers)</p>
Participatory Research for Fine-tuning of a 2.0 System to Optimise Home Management of Oral Cancer Therapies.
ClinicalTrials.gov study NCT02921724. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Data from: Causes and consequences of repeatability, flexibility and individual fine-tuning of migratory timing in pike
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Data from: Whole-chloroplast analysis as an approach for fine-tuning the preservation of a highly charismatic but critically endangered species, Wollemia nobilis (Araucariaceae)
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Data from: Reed warbler hosts fine-tune their defenses to track three decades of cuckoo decline
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Data from: Fine tuning for the tropics: application of eDNA technology for invasive fish detection in tropical freshwater ecosystems.
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Different combinations of insect Na,K-ATPase α- and β-subunits enable fine-tuned adaptation to host plant toxins and tissue specific needs
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Data from: Vision fine-tunes preparation for landing in the cane toad, Rhinella marina
In toad hopping, the hindlimbs generate the propulsive force for takeoff while the forelimbs resist the impact forces associated with landing. Preparing to perform a safe landing, in which impact forces are managed appropriately, likely involves the integration of multiple types of sensory feedback. In toads, vestibular and/or proprioceptive feedback are critical for coordinated landing, however, the role of vision remains unclear. To clarify this role, this study compares pre-landing forelimb muscle activation patterns in animals before and after removing vision. Specifically, we recorded EMG activity from two antagonistic forelimb muscles, the anconeus and coracoradialis, which demonstrate distance-dependent onset timing and recruitment intensity, respectively. Toads were first recorded hopping normally and then again after their optic nerves were severed to remove visual feedback. When blind, toads exhibited basic hop kinematics and pre-landing muscle activity similar to when sighted. However, distance-dependent relationships for muscle activity patterns were more variable, if present at all. This study demonstrates that blind toads are still able to perform coordinated landings, reinforcing the importance of proprioceptive and/or vestibular feedback during hopping. But the increased variability in distance-dependent activity patterns indicates that vision is more responsible for fine-tuning the motor control strategy for landing.
CodeQual: A dataset for fine-tuning Large Language Models for code quality assessment task
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Post-Translational Modification Prediction via Prompt-Based Fine-Tuning of a GPT-2 Model
<p>Training and Benchmark datasets for 19 PTMGPT2 models</p>
Data from: Vision fine-tunes preparation for landing in the cane toad, Rhinella marina
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Global fine-tuning of translation by queuosinylation and Dnmt2-dependent tRNA methylation
GEO Series GSE102376. Schizosaccharomyces pombe. 36 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Smarca4 (Brg1) is a haploinsufficient B-cell tumor suppressor that fine-tunes centrocyte cell fate decisions [raji_R1192C_atac]
GEO Series GSE254906. Homo sapiens. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A cis-regulatory element controls HDAC9 expression to fine-tune inflammasome-dependent chronic inflammation
GEO Series GSE274312. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
H4K16 acylations fine-tune transcriptional response during metabolic perturbations (ATAC-seq)
GEO Series GSE275932. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mecp2 fine-tunes quiescence exit by targeting nuclear receptors
GEO Series GSE227728. Mus musculus. 19 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
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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.