GitHub topics: metacognition
AXREL999/Sentinel-Trace
Sentinel Trace uses AI to enhance code security, ensuring thorough vulnerability assessments. With its Deep Reasoning Protocol, it offers a reliable approach to safeguarding your projects. 🛡️💻
Size: 11.7 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
fullscreen-triangle/lavoisier
High performance computing solution for mass-spectrometry based metabolomics data analysis pipeline that combines traditional numerical methods with advanced computer vision methods for high volume data using AI-driven metacognitive orchestration layers
Language: HTML - Size: 99.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
neuroglyph/git-mind
Neuroglyph is an open-source protocol and toolkit that turns Git into a database-less, version-controlled semantic knowledge graph — a substrate for distributed cognition, evolving interpretation, and human–AI co-thought.
Language: C - Size: 3.54 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0
j-94/metacognitive-framework
From DSL Bootstrap to Universal Reasoning: A framework that captures, evolves, and teaches meta-cognitive reasoning. Started as a simple experiment runner, evolved into a complete system achieving both symbolic rigor (76.5%) and neural adaptability (90%).
Language: Python - Size: 79.1 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
zxwar111/Sentinel-Trace
Sentinel Trace, the Metacognitive Security AI, conducts rigorous, transparent code vulnerability analysis. It 'thinks out loud' using a Deep Reasoning Protocol, delivering detailed thought logs and structured, verifiable vulnerability reports, offering insights far beyond standard scans.
Size: 11.7 KB - Last synced at: 4 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
solaris0051/column-method
React for Column Method in Japanese.
Language: JavaScript - Size: 5.93 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0
PV-Bhat/vibe-check-mcp-server
The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.
Language: TypeScript - Size: 2.39 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 65 - Forks: 10
embodied-computation-group/Cardioception
Python Cardioception Package - Measuring interoceptive performance with Psychopy
Language: Jupyter Notebook - Size: 377 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 28 - Forks: 15
ManuelRausch/StatConfR
Development of an R package for metacognition researchers
Language: HTML - Size: 5.37 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1
phillipclapham/neuroweaver
A work of meta-recursive experiential fiction exploring the boundaries between truth, perception, consciousness, and reality.
Language: HTML - Size: 4.92 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 2
ethicalabs-ai/ouroboros
Self-Improving LLMs Through Iterative Refinement
Language: Python - Size: 429 KB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0
flowersteam/MAGELLAN
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
Language: Python - Size: 1.97 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 1
lab-v2/PyEDCR
PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization
Language: Python - Size: 16.2 GB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 1
embodied-computation-group/metadpy
Metacognitive efficiency modelling in Python.
Language: Python - Size: 64.7 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 6
LegrandNico/cardioception
Cardioception Toolbox - Measuring cardiac interoceptive performance with Psychopy
Language: Jupyter Notebook - Size: 35.9 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
masaok/metacognition-notes
Learning how to learn (spaced repetition, etc.)
Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
embodied-computation-group/metagender
A repository for our manuscript investigating gender differences in local and global metacognition.
Language: MATLAB - Size: 18.2 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
cards4pros/1tm
one task mind
Language: HTML - Size: 89.8 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
dicemt/matsuyoshi_ponzo_metacognition
:white_check_mark: Behavioral global/local metacognition and visual illusion opendata and code for Matsuyoshi et al. (2024) BMC Psychol
Language: R - Size: 428 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
subjectivitylab/OPAM-domain-general-metacognition
analyses for domain-generality presentation at OPAM 2022
Language: Jupyter Notebook - Size: 7.65 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
nmningmei/metacognition
Similar history biases for distinct prospective decisions of self-performance
Language: Python - Size: 64.4 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
kclick91/expert-engine
Learning that is based on the limitations of hardware and software in order to work with the limitations and advantages of wetware.
Language: Java - Size: 90.8 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
jorgemlg/abstractshapes
Matlab code for generating random line abstract shapes.
Language: Matlab - Size: 4.15 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0
fititnt/criatividade-familiar
HipĂłtese de estratĂ©gias de presentes cognitivos para jovens de 4 a 16 anos para aproveitar tempo ocioso de forma criativa. Baixo custo em detrimento de presentes caros: criar em vez de comprar pronto. Estimulação precoce ao pensamento cientĂfico. "Brincadeiras"-Coping entre jovens contra problemas de aprendizagem (TEA, TDAH, DDA, etc)
Size: 438 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0
mvuorre/confPerf
Relation between metacognitive resolution metrics and task performance
Language: TeX - Size: 14.5 MB - Last synced at: about 9 hours ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
fititnt/hipoteses-de-rocha
HipĂłteses de Emerson Rocha, foco em meta aprendizagem, isto Ă©, o ato de aprender a aprender
Size: 123 KB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0
fititnt/criatividade-industrial
VocĂŞ, de forma criativa, fica mais feliz e produtivo a curto e longo prazo; a pequena empresa em que trabalha tem mais lucro em deixar vocĂŞ agindo assim; vocĂŞ causa mais impacto positivo na sua comunidade com menos estresse
Language: CSS - Size: 61.5 KB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0