89 skills found · Page 1 of 3
kofigyan / StateProgressBarAndroid library to realize the various states and transitions in a ProgressBar.
hishamk / StatetrooperStateTrooper is a Go package that provides a finite state machine (FSM) for managing states. It allows you to define and enforce state transitions based on predefined rules.
roynx98 / Transition Button AndroidButton for android with animations for transition and error states.
eljost / PysisyphusPython suite for optimization of stationary points on ground- and excited states PES and determination of reaction paths.
tiredamage42 / DynamicRagdollRuntime customizable ragdolls in Unity. With transitions to and from animated states.
allenai / AlexafsmWith alexafsm, developers can model dialog agents with first-class concepts such as states, attributes, transition, and actions. alexafsm also provides visualization and other tools to help understand, test, debug, and maintain complex FSM conversations.
lgersman / Jquery.orangevolt Amperea javascript framework to create applications like wizards based on a automata definition with states and transitions.
RajashekarRaju / Jetpack Compose SamplesThis repository contains samples on jetpack compose for building different components like layouts, animations, transitions, saving states and more. Most of examples are demonstrated in blog posts.
ndaversa / Hubot Jira BotLets you search for JIRA tickets, open them, transition them thru different states, comment on them, rank them up or down, start or stop watching them or change who is assigned to a ticket. Also, notifications for assignments, mentions and watched tickets.
huan / MailboxMailbox is the predictable states & transitions container for actors.
captainmeeple / UML Statechart Framework For JavaThe framework implements UML statecharts in Java. Next to the standard elements of FSMs, hierarchical and concurrent states are as well supported as pseudostates, segmented transitions, timed events and an eventqueue for dispatching events asynchronously.
prooheckcp / RobloxStateMachineA state machine implementation for Roblox. It allows you to easily setup State Machines with States and Transitions!
denchiklut / Loadable ImageReact Component to lazy load images. With smooth transition between loading states
JuniperPhoton / FlipperControlUWPA control that uses flip transition to change different states for UWP apps.
Gagniuc / Diabetes Prediction 2.0Diabetes prediction V2.0 -This VB6 application takes glycemic values and tries to predict the future state of the patient. First, it converts a sequence of numbers into states. The states are arranged in a transition matrix and the transition probabilities are calculated for each element. The transition matrix is further used for a predictions.
shuckster / StatebotDescribe the states and allowed transitions of a program using a flowchart-like syntax. Switch to states directly, or by wiring-up events. Statebot is an FSM.
cotestatnt / YA FSMSimple state machine. Implements a "Petri net" (GRAFCET/SFC) inspired state machine with states, transitions and actions
Lucretiel / OccupiedA simple utility library for transitioning enums into and out of occupied states
Gagniuc / Diabetes Prediction 1.0Diabetes prediction V1.0 uses the Markov Chains method. First, this VB6 application converts a sequence of numbers into states. The states are arranged in a transition matrix and the transition probabilities are calculated for each element. Next, the transition matrix is further used for a prediction in a Markov chain.
bilzinet / Traffic State Reconstruction Using Deep CNNWe propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolutional encoder-decoder based architecture, we show that a well trained neural network can learn spatio-temporal traffic speed dynamics from timespace diagrams. We demonstrate this for a homogeneous road section using simulated vehicle trajectories and then validate it using real-world data from NGSIM. Our results show that with probe vehicle penetration levels as low as 5%, the proposed estimation method can provide a sound reconstruction of macroscopic traffic speeds and reproduce realistic shockwave patterns, implying applicability in a variety of traffic conditions. We further discuss the model’s reconstruction mechanisms and confirm its ability to differentiate various traffic behaviors such as congested and free-flow traffic states, transition dynamics, and shockwave propagation.
