Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)
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Updated
Jun 12, 2020 - Python
Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)
Summarization of static graphs using the Minimum Description Length principle
Digital Credentials Harmonized Presentation (DCHP) Working Group - harmonizing ISO/IEC 18013-5 and OpenID4VP credential presentation
Convert models from GoldSource engine to Source engine with AI
Shannon Control Unit: Adaptive regularization via control theory for LLM training
Windows modding suite for KOTOR 1 & 2: inspect and edit models, build and rig custom characters, retarget animations, edit modules, author maps, and validate/export game-ready assets and modules.
Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).
C2UI - Source Filmmaker in a modern shell: mounts your SFM install, reads its models, materials, maps and sessions 1:1 and edits them itself. Never runs sfm.exe.
Vensim 系统动力学建模 AI Skill:.mdl 草图自动排版 + 信息箭头平滑弧线。基于官方 Sketch Format 解析,Graphviz 半固定布局,保留方程与对象 ID。适用于 SFD/CLD 课程作业、政策分析、论文图表。
Mobile Diagnostic Lab is an interface for accessing information about your Android device though a USB debugging
Manage contacts (phone numbers only) of the google account ☎️ 💾
ROW: a controlled benchmark for when reusable computation pays in neural lifetime learning. Pre-specified sealed-world confirmation: the value of sharing is linear in measured functional recurrence, and statistical reuse is not structural abstraction.
A package of libraries used for scraping information on Japanese TV shows from official sites to post on MyDramaList.com
Import-Export > SourceEngine MDL
Automatic CSS/HL2/GMod file detection
UFR Design System analyzer & generator powered by the Emergence Engine. Analyze React codebases, discover patterns, and generate canonical components.
Learning language by compression — an MDL language learner with no transformer and no backprop. Predicts, chunks, induces grammatical categories, and learns new words in one shot.
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