tribev2-brain-encoding
TRIBE v2 Brain Encoding Model
Skill by ara.so — Daily 2026 Skills collection
TRIBE v2 is Meta's multimodal foundation model that predicts fMRI brain responses to naturalistic stimuli (video, audio, text). It combines LLaMA 3.2 (text), V-JEPA2 (video), and Wav2Vec-BERT (audio) encoders into a unified Transformer architecture that maps multimodal representations onto the cortical surface (fsaverage5, ~20k vertices).
Installation
# Inference only
pip install -e .
# With brain visualization (PyVista & Nilearn)
pip install -e ".[plotting]"
# Full training dependencies (PyTorch Lightning, W&B, etc.)
pip install -e ".[training]"
More from aradotso/trending-skills
openclaw-control-center
Local-first, security-first control center for OpenClaw agents — visibility dashboard with readonly defaults, token attribution, collaboration tracing, and safe write operations.
4.1Kinkos-multi-agent-novel-writing
Multi-agent CLI system for autonomous novel writing, auditing, and revision with human review gates
2.1Kclaude-hud-statusline
A Claude Code plugin that displays a real-time HUD showing context usage, active tools, running agents, and todo progress in your terminal statusline.
2.0Kunderstand-anything-knowledge-graph
Turn any codebase into an interactive knowledge graph using Claude Code skills — explore, search, and ask questions about any project visually.
1.8Kagency-agents-ai-specialists
A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
1.7Keverything-claude-code-harness
Agent harness performance system for Claude Code and other AI coding agents — skills, instincts, memory, hooks, commands, and security scanning
1.7K