devstermarts/Notebooks

Training RAVE, vschaos2, MSPrior and RAVE Latent Diffusion models on Kaggle or Colab

Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 28 - Forks: 5

jennasimit/flashfmZero

Latent factor GWAS; Multi-trait fine-mapping for any number of uncorrelated traits (and limited number of correlated traits)

Language: R - Size: 7.33 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

alessioborgi/Z-SASLM

Accepted at the CVPR 2025 Workshop on AI for Creative Visual Content Generation, Editing and Understanding and published in the Official CVPR Workshop Procedings. Z-SASLM is a zero-shot framework for multi-style image synthesis leveraging Spherical Linear Interpolation (SLI) to achieve smooth, coherent blending—without any fine-tuning.

Language: Jupyter Notebook - Size: 446 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

BahBROOOT/fivem_latent_callbacks

A script that combines latent events and callbacks.

Language: Lua - Size: 41 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

thiswillbeyourgithub/AnnA_Anki_neuronal_Appendix

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Language: Python - Size: 3.89 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 64 - Forks: 1

codewithdark-git/LatentRecurrentDepthLM

This project presents a novel approach that integrates latent representations with recurrent architectures for depth modeling. It is designed for efficient learning and inference in complex environments.

Language: Python - Size: 29.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

HemantKArya/HqStableDiffusionColab

A High Quality (HD / 2K / 4K) Image Generation Using Stable Diffusion and Real-ESR / SwinIR /GFPGAN

Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 5

lanl/LaFA

Latent Feature Attacks on Non-negative Matrix Factorization

Language: Jupyter Notebook - Size: 800 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

maximilianMairinger/moreProms

A collection of additional promise extending classes. Including a (from the outside) ResablePromise, CancelAblePromise and a latestLatent utility function.

Language: TypeScript - Size: 81.1 KB - Last synced at: 12 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

abikesa/metaphor

Nutshell

Language: HTML - Size: 28.6 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

CoronaNetDataScience/covid_model

Code and data to reproduce "A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints"

Language: TeX - Size: 349 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 2

taldatech/ddlp

[TMLR 2024] Official PyTorch Implementation of Deep Dynamic Latent Particles

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 1

Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio

custom node for ComfyUI

Language: Python - Size: 5.86 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 3

usnistgov/elft

Resources for NIST's Evaluation of Latent Friction Ridge Technology

Language: C++ - Size: 210 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 3

guhjy/lv-ida Fork of dmalinsk/lv-ida

For the implementation of LV-IDA in R

Language: R - Size: 13.7 KB - Last synced at: almost 2 years ago - Pushed at: about 9 years ago - Stars: 0 - Forks: 0

guhjy/lavaReduce Fork of bozenne/lavaReduce

Latent variable models with linear predictors

Language: R - Size: 1.25 MB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

guhjy/LatentMediation Fork of lit777/LatentMediation

Language: R - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

guhjy/LAM Fork of alexanderrobitzsch/LAM

Some Latent Variable Models

Language: R - Size: 169 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

guhjy/CopulaFactorModel Fork of cuiruifei/CopulaFactorModel

Inference for Gaussian copula factor models and its application to causal discovery.

Language: R - Size: 101 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

thakur-nandan/topic-modeling

This repository contains as intuitive example on topic-modeling using regular LDA, and how GuidedLDA is better than regular LDA

Language: Jupyter Notebook - Size: 126 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 6

satyakamacodes/Early-estimation-of-protest-time-spans-Using-NLP-Topic-Modeling

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.

Language: R - Size: 166 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 5

ewancarr/mediator-overlap

Code used for the analysis in "Discernment of Mediator and Outcome Measurement in the PACE trial"

Language: R - Size: 205 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

zipkinlab/Rossman_etal_2016_Ecol

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.

Language: R - Size: 3.92 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 2