Topic: latent Goto Github
Some thing interesting about latent
Some thing interesting about latent
latent,Binary classification-models comparison
User: alessandromirone
latent,Using Latent Variable Analysis (LVA) to determine if there is an association between athletic activity and substance use while using level of depression as a mediator variable
User: coletonreitan
latent,Code and data to reproduce "A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints"
Organization: coronanetdatascience
Home Page: https://doi.org/10.1093/jrsssa/qnae040
latent,Training RAVE, vschaos2, MSPrior and RAVE Latent Diffusion models on Kaggle or Colab
User: devstermarts
latent,Code used for the analysis in "Discernment of Mediator and Outcome Measurement in the PACE trial"
User: ewancarr
Home Page: https://www.medrxiv.org/content/10.1101/2021.01.25.21250436v1
latent,custom node for ComfyUI
User: guillaume-fgt
latent,Unofficial Implementation of E-LatentLPIPS(Ensembled-LatentLPIPS) of Diffusion2GAN
User: gunwoohan
latent,A High Quality (HD / 2K / 4K) Image Generation Using Stable Diffusion and Real-ESR / SwinIR /GFPGAN
User: hemantkarya
Home Page: https://www.instagram.com/iamhemantindia
latent,A collection of additional promise extending classes. Including a (from the outside) ResablePromise, CancelAblePromise and a latestLatent utility function.
User: maximilianmairinger
Home Page: https://www.npmjs.com/package/more-proms
latent,Protests and agitations have long used as means for showing dissident towards social, political and economic issues in civil societies. In recent years we have witnessed a large number of protests across various geographies. Not to be left behind by similar trends in the rest of the world, South Africa, in recent years have witnessed a large number of protests. This paper uses the English text description of the protests to predict their time spans/durations. The descriptions consist of multiple causes of the protests, courses of actions etc. Next we used unsupervised (topic modeling) and supervised learning (decision trees) to predict the duration of protests. The results are very promising and close to 90% of accuracy in early predicting of the duration of protests.
User: satyakamacodes
Home Page: https://arxiv.org/abs/1711.00462
latent,[TMLR 2024] Official PyTorch Implementation of Deep Dynamic Latent Particles
User: taldatech
Home Page: https://taldatech.github.io/ddlp-web/
latent,This repository contains as intuitive example on topic-modeling using regular LDA, and how GuidedLDA is better than regular LDA
User: thakur-nandan
latent,Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
User: thiswillbeyourgithub
latent,Resources for NIST's Evaluation of Latent Friction Ridge Technology
Organization: usnistgov
Home Page: https://www.nist.gov/itl/iad/image-group/evaluation-latent-friction-ridge-technology
latent,Rossman R., Yackulic C., Saunders S.P., Reid J., Davis R., and Zipkin E.F. 2016. Dynamic N-occupancy models: estimating demographic rates and local abundances from detection-nondetection data. Ecology. 97: 3300-3307.
Organization: zipkinlab
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