vliaskovitis

vliaskovitis

SUSE AI Meets the Game Board

a project by moio

Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!
A chameleon playing chess in a train car, as a metaphor of SUSE AI applied to games

Updated 7 days ago. 7 hacker ♥️. 5 followers.
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  • 4 days ago: vliaskovitis joined SUSE AI Meets the Game Board
  • 5 days ago: vliaskovitis liked SUSE AI Meets the Game Board
  • 7 days ago: vliaskovitis liked Train generative AI with internal knowledge to answer questions related to code/architecture/hr etc.
  • 7 days ago: vliaskovitis liked Model checking the BPF verifier
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  • 20 days ago: vliaskovitis liked Finish gfxprim application multiplexor (window manager)
  • 20 days ago: vliaskovitis liked Practice MLperf benchmark for AI testing purpose
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  • 20 days ago: vliaskovitis liked drgn for kernel core analysis
  • 20 days ago: vliaskovitis liked Officially Become a Kernel Hacker!
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  • 20 days ago: vliaskovitis liked Creating Userspace Livepatching using GNU Compiler Infrastructure
  • about 1 year ago: vliaskovitis liked Vulkan Widget for GTK
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