71 skills found · Page 1 of 3
LearnLib / LearnlibA free, open-source Java library for automata learning algorithms
DES-Lab / AALpyAn Automata Learning Library Written in Python
DicSo92 / SandboxScienceSandbox Science is an interactive platform designed to make learning and exploring scientific concepts fun and accessible. The platform offers a variety of simulations, from cellular automata like Game of Life to complex particle interactions in Particle Life.
danielegrattarola / GNCACode for "Learning Graph Cellular Automata" (NeurIPS 2021).
awni / Automata MlAn Introduction to Weighted Automata in Machine Learning
shyamsn97 / Controllable NcasCode for "Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems"
elbecerrasoto / Gym Cellular AutomataCellular Automata Environments for Reinforcement Learning
steynvl / InferrerAn automata learning library written in Python.
LearnLib / AlexAutomata Learning EXperience (ALEX) - A free and open-source web application for testing and learning web applications via active automata learning
makenowjust / Lernenan automata learning library written in Ruby
wcventure / Active Automata LearningA Quick Research of Active Automata Learning
UMich-CURLY / DHALDiscrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding
MagnusPetersen / Neural Cellular Automata Image ManipulationArtistic style transfer has been part of the quickly growing AI Art community in recent times. Pioneered by Gatys et al this class of methods allows for the transfer of a style, texture, pattern ect. to a target image. This has been made possible by the use of the expressive hidden features of large computer vision models like VGG19 to use as a loss function. The method by which this transformation is undertaken has come in many forms from the intial method which optimized the pixel of the image directly to newer forms that train some form of CNN to create a general style transfer network. The method presented in this paper is in the same vain as those newer methods but leveraging a new class of deep learning method, that of deep neural cellular automata. This new method brings with it the ability to transform any image to a target style, like the CNN method mentioned earlier, using the same automata update rule in an iterative fashion. This iterative fashion allows one to stop the process early for less stylization as well as resulting in video rather than a still image which, due to the dynamic nature of cellular automata, has visually pleasant properties.
tudelft-cda-lab / FlexFringeThe FlexFringe tool for flexible learning of state machines (deterministic automata) from traces. See the paper at https://arxiv.org/abs/2203.16331
grockious / DeepsynthDeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
DES-Lab / Learning Based FuzzingUsing automata learning to mine models used for fuzzing of statefull systems
DES-Lab / Extracting FSM From RNNsBlack-box extraction of Finite-State Machines from RNNs.
ErnestThePoet / Automata Playground在线可视化地设计、运行自动机，支持DFA和TM Feel free to create & run your DFA and TM🍩Based on React+Next.js+Mobx+Vis Network
HVLearn / HVLearnA tool/framework for analyzing hostname verification in SSL/TLS implementations using automata learning
Bro-Hui / Land Use Change Simulation With PST CAA novel hybrid cellular automata model for LUC simulation, coupling area partitioning and spatiotemporal neighborhood features learning
