GitHub - meituan-longcat/LongCat-Video
We introduce LongCat-Video, a foundational video generation model with 13.6B parameters, delivering strong performance across Text-to-Video, Image-to-Video, and Video-Continuation generation tasks. …
Revealing pre-earthquake signatures in atmosphere and ionosphere associated with 2015 M7.8…
We analyze retrospectively/prospectively the transient variations of three different physical parameters of atmosphere during the time of M7.8 and M7.3 events in Nepal: outgoing earth radiation (OLR), GPS/TEC and the thermodynamic proprieties in the...
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
By increasing model parameters but activating them sparsely when performing a task, the use of Mixture-of-Experts (MoE) architecture significantly improves the performance of Large Language Models (LLMs) without increasing the inference cost. However...
GitHub - meituan-longcat/LongCat-Video
We introduce LongCat-Video, a foundational video generation model with 13.6B parameters, delivering strong performance across Text-to-Video, Image-to-Video, and Video-Continuation generation tasks. …
A Learned Simulation Environment to Model Plant Growth in Indoor Farming
We developed a simulator to quantify the effect of changes in environmental parameters on plant growth in precision farming. Our approach combines the processing of plant images with deep convolutional neural networks (CNN), growth curve modeling, an...
Enhanced measurement events - Analytics Help - Google Help
Discover how to enable and disable enhanced measurement events and learn more about which parameters are collected for each event.Enhanced measurement lets you measure interactions with …
Musketeer: Joint Training for Multi-task Vision Language Model with Task Explanation Promp…
We present a vision-language model whose parameters are jointly trained on all tasks and fully shared among multiple heterogeneous tasks which may interfere with each other, resulting in a single model which we named Musketeer. The integration of kno...
Effect of self-affine fractal characteristics of surfaces on wetting
The relation between the contact angle of a liquid drop and the morphological parameters of self-affine solid surfaces have been investigated. We show experimentally that the wetting property of a solid surface crucially depends on the surface morp...
Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs
Panel Vector Autoregressions (PVARs) are a popular tool for analyzing multi-country datasets. However, the number of estimated parameters can be enormous, leading to computational and statistical issues. In this paper, we develop fast Bayesian method...
High Precision Astrometry with Adaptive Optics aided Imaging
More than 450 exoplanets are known and this number increases nearly every day. Only a few constraints on their orbital parameters and physical characteristics can be determined, as most exoplanets are detected indirectly. Measuring the astrometric si...
anylogic - how to set the dynamic “destination” in the properties for ...
Nov 29, 2024 · I tried to release it like this 1, it works, but I want to implement dynamic change of parameters not of the storage, but of the cell 2. Want to implement the following logic: checking the …
BLAST: Basic Local Alignment Search Tool
It saves query sequences only if they are expressed as accessions or as FASTA files less than 10,000 characters long. It does not save formatting parameters.
Enhancing Building Safety Design for Active Shooter Incidents: Exploration of Building Exi…
With the alarming rise in active shooter incidents (ASIs) in the United States, enhancing public safety through building design has become a pressing need. This study proposes a reinforcement learning-based simulation approach addressing gaps in exis...
Dynamical Jahn-Teller effect of fullerene anions
The dynamical Jahn-Teller effect of C$_{60}^{n-}$ anions ($n = $ 1-5) is studied using the numerical diagonalization of the linear $p^n \otimes 8d$ Jahn-Teller Hamiltonian with the currently established coupling parameters. It is found that in all an...
Malachov/predictit
Library/framework for making predictions. Automatically choose best models (ARIMA, regressions, MLP, LSTM...) from libraries like Scikit, Statsmodels or Tensorflow. Preprocess data and chose optimal parameters of prediction. (⭐ 9)
Enhanced measurement events - Analytics Help - Google Help
Discover how to enable and disable enhanced measurement events and learn more about which parameters are collected for each event.Enhanced measurement lets you measure interactions with …
Fietje: An open, efficient LLM for Dutch
This paper introduces Fietje, a family of small language models (SLMs) specifically designed for the Dutch language. The model is based on Phi 2, an English-centric model of 2.7 billion parameters. Fietje demonstrated competitive results with larger...
URL builders: Collect campaign data with custom URLs
By adding utm campaign parameters to the destination URLs you use in referral links and ad campaigns, you can view which campaigns refer traffic. When a user clicks a referral link, the URL …
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
The performance of deep neural networks is often attributed to their automated, task-related feature construction. It remains an open question, though, why this leads to solutions with good generalization, even in cases where the number of parameters...
Diffusion of two brands in competition: cross-brand effect
We study the equilibrium points of a system of equations corresponding to a Bass based model that describes the diffusion of two brands in competition. To increase the understanding of the effects of the cross-brand parameters, we perform a sensitivi...