668 skills found · Page 1 of 23
typestack / Class ValidatorDecorator-based property validation for classes.
DavyJonesLocker / Client Side ValidationsClient Side Validations made easy for Ruby on Rails
rootsongjc / Kubernetes Vagrant Centos ClusterSetting up a distributed Kubernetes cluster along with Istio service mesh locally with Vagrant and VirtualBox, only PoC or Demo use.
tophant-ai / ClawVaultOpenClaw Security Vault — Atomic "claw" control: every AI reach, within your sight.
vas3k / Vas3k.clubNo bullshit IT community with private membership
Visual-Attention-Network / VAN ClassificationNo description available
pires / Kubernetes Vagrant Coreos ClusterKubernetes cluster (for testing purposes) made easy with Vagrant and CoreOS.
tejaslodaya / Timeseries Clustering VaeVariational Recurrent Autoencoder for timeseries clustering in pytorch
HeyM1ke / ValorantClientAPIInformation on Valorant's Private/In-Game API
kelseyhightower / Serverless Vault With Cloud RunGuide to running Vault on Cloud Run
dailymotion / Vast Client JsVAST (up to 6) parsing library for JavaScript
sunspikes / Clamav ValidatorLaravel virus validator based on ClamAV anti-virus scanner
aaemnnosttv / Wp Cli Valet CommandHarness the power of Laravel Valet for creating fully functional WordPress installs in seconds.
laravel / Vapor CliThe CLI client for interacting with Laravel Vapor.
RuiShu / Vae ClusteringUnsupervised clustering with (Gaussian mixture) VAEs
v5tech / Vagrant Kubernetes ClusterVagrant一键安装Kubernetes集群。安装 Metrics Server 、Kuboard 、Kubernetes Dashboard、KubePi、Kubernetes集群监控prometheus-operator
spring-cloud / Spring Cloud VaultConfiguration Integration with HashiCorp Vault
haacked / Aspnet Client ValidationA client validation library for ASP.NET MVC that does not require jQuery
royalosyin / Python Practical Application On Climate Variability StudiesThis tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
democrats / Client Side ValidationsRails Client Side Validations
