Results for “gradient-boosting”
18 skills
ssrjkk gradio
Creates ML demo interfaces with Gradio, supporting images, text, audio, and video inputs/outputs.
2 · bundle
smith6jt-cop reward-function-v330
Use when tuning RL reward function weights, fixing reward hacking, or addressing P&L gradient issues
3
jiachen-t-wang copy-paste-augmentation-for-instance-segmentation-arxiv-2012
Copy-Paste Augmentation for Instance Segmentation
6
kk20300113-png benchmark
Performance regression detection using the browse daemon. Establishes baselines for page load times, Core Web Vitals, and resource sizes. Compares before/after on every PR. Tracks performance trends over time. Use when: "performance", "benchmark", "page speed", "lighthouse", "web vitals", "bundle size", "load time". (gstack) Voice triggers (speech-to-text aliases): "speed test", "check performance".
0
winbda 360-feedback
Design 360-degree feedback programs with surveys. TRIGGERS - Use when user needs help with 360-feedback related tasks.
3
livelybug benchmark
Performance regression detection using the browse daemon. (gstack)
0
lionelsimai grading-plan
Design grading plans. TRIGGERS - Use when user needs help with grading-plan related tasks.
22
smith6jt-cop reward-function-v410
v4.1.0 reward function redesign to fix overtrading and DSR dominance
3
lionelsimai badge-system
Design badge and achievement systems for learning. TRIGGERS - Use when user needs help with badge-system related tasks.
22
lionelsimai 360-feedback
Design 360-degree feedback programs with surveys. TRIGGERS - Use when user needs help with 360-feedback related tasks.
22
eli-yu-first gamification-framework
Implements gamification elements in educational content with points, badges, leaderboards, and quests
6 · bundle
samuraigpt muapi-nano-banana
Generates high-fidelity images using reasoning-driven prompts and structured creative briefs via muapi.ai.
3.7k · bundle
jiachen-t-wang svit-scaling-up-visual-instruction-tuning-arxiv-2307-04087v2
SVIT: Scaling up Visual Instruction Tuning
6
jiachen-t-wang autoaugment-learning-augmentation-strategies-from-data-arxiv
AutoAugment: Learning Augmentation Strategies from Data
6
winbda grading-plan
Design grading plans. TRIGGERS - Use when user needs help with grading-plan related tasks.
3
kevinpbuckley landscape-auto-material
Create production-quality landscape materials with the master-material + material-function + material-instance paradigm, RVT, and auto-layering. Use when the user asks for an auto/procedural landscape material, slope/altitude/distance-based layer blending, Runtime Virtual Textures, biome configuration via instances, or layer material functions. For basic layer-blend materials load landscape-materials.
605 · bundle
kevinpbuckley landscape-materials
Create landscape materials with layer blending, texture setup, and layer info objects (LandscapeMaterialService). Use when the user asks to build a landscape/terrain material, set up paint layers (grass/rock/dirt), create layer info objects, add a grass output, or assign a material to a landscape. For production master-material+RVT systems, load landscape-auto-material.
605 · bundle
lucassantana-dev fallback
Graceful degradation when primary approach fails. Try alternates in priority order; record which path succeeded for future routing.
1 · bundle