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Artificial Life
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Chakazul/Lenia
공식 코드https://github.com/LanaSina/evolutionary_illusion_generator
공식 코드https://github.com/aadharna/UntouchableThunder
공식 코드https://github.com/adipandas/gym_multirotor
공식 코드https://github.com/amlalejini/exploring-tag-matching-metrics-in-signalgp
공식 코드https://github.com/anyaevostinar/RealisticFishing
공식 코드Artificial Life in Game Mods for Intuitive Evolution Education
https://github.com/aymericvie/Covid19_coevolution
공식 코드https://github.com/cwreynolds/lazypredator
공식 코드https://github.com/cwreynolds/texsyn
공식 코드https://github.com/deepmind/meltingpot
공식 코드https://github.com/eleninisioti/climateandlearning
공식 코드https://github.com/emilydolson/phylotrackpy
공식 코드Phylotrack: C++ and Python libraries for in silico phylogenetic tracking
https://github.com/erwanplantec/FlowLenia
공식 코드https://github.com/flowersteam/sensorimotor-lenia-search
공식 코드Discovering Sensorimotor Agency in Cellular Automata using Diversity Search
https://github.com/hugcis/evolving-structures-in-complex-systems
공식 코드https://github.com/luchris429/jaxlife
공식 코드https://github.com/maxencefaldor/cax
공식 코드https://github.com/mbuliga/quinegraphs
공식 코드Artificial life properties of directed interaction combinators vs. chemlambda
https://github.com/mmore500/cryptic-sequence-concept
공식 코드https://github.com/namlehai90/evolving-neuronal-flocks
공식 코드Emergent Collective Reproduction via Evolving Neuronal Flocks
https://github.com/nata-web/so-scaled-up
공식 코드Scaling up the self-optimization model by means of on-the-fly computation of weights
https://github.com/paradigms-of-intelligence/cubff
공식 코드Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
https://github.com/pdturney/johnnyvon
공식 코드Self-Replicating Machines in Continuous Space with Virtual Physics
https://github.com/pigozzif/pressuresoftagents
공식 코드https://github.com/riveSunder/carle
공식 코드Carle's Game: An Open-Ended Challenge in Exploratory Machine Creativity
https://github.com/s4nyam/apcsp
공식 코드https://github.com/sakanaai/asal
공식 코드Automating the Search for Artificial Life with Foundation Models
https://github.com/shailendrabhandari/QUEVO1
공식 코드How quantum and evolutionary algorithms can help each other: two examples
https://github.com/uber-common/safemutations
공식 코드Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients
https://github.com/ymollard/APEX
공식 코드Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
https://github.com/znah/zff
공식 코드Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
https://gitlab.com/petersheridandodds/ousiometry
공식 코드https://zenodo.org/record/6450330
공식 코드Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution
https://github.com/OREL-group/dBV
https://github.com/ezhang7423/social-environment-design
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.