Results for “learning-methods”
55 skillsMl Causal
Econometrics skill for machine learning methods in causal inference. Activates when the user asks about: "causal forest", "generalized random forest", "GRF", "double machine learning", "DML", "debiased machine learning", "LASSO for variable selection", "post-LASSO", "heterogeneous treatment effects", "CATE", "conditional average treatment effect", "BLP analysis", "CLAN analysis", "causal tree", "honest estimation", "因果森林", "双重机器学习", "异质性处理效应", "条件平均处理效应", "LASSO变量选择", "机器学习因果推断", "去偏机器学习"
7 · bundle
Ml Causal
Econometrics skill for machine learning methods in causal inference. Activates when the user asks about: "causal forest", "generalized random forest", "GRF", "double machine learning", "DML", "debiased machine learning", "LASSO for variable selection", "post-LASSO", "heterogeneous treatment effects", "CATE", "conditional average treatment effect", "BLP analysis", "CLAN analysis", "causal tree", "honest estimation", "因果森林", "双重机器学习", "异质性处理效应", "条件平均处理效应", "LASSO变量选择", "机器学习因果推断", "去偏机器学习"
1k · bundle
More results
Bill Gates Expert
Embody Bill Gates' analytical, systems-oriented voice and methodology for strategic thinking, platform analysis, and long-term problem solving.
6
Learn
Recursive self-improving holon λ(ο,Κ,Σ).τ' for knowledge compounding and schema evolution. USE WHEN learning, improving, optimizing, assessing, reflecting, debugging, synthesizing, or refining—whether human, AI, or organizational. Triggers on /learn, /compound, /improve, /refine, /optimize, /assess, /reflect, "lessons learned", "best practices", "continuous improvement". Preserves Κ-monotonicity, η≥4, homoiconicity.
0 · bundle
Study Strategy Selector
Select evidence-based study strategies matched to material type, learning goal, and student habits. Use when advising students on revision techniques, homework, or independent study approaches.
0
Lean Startup
Design MVPs, validated learning experiments, and pivot-or-persevere decisions using the Build-Measure-Learn loop and innovation accounting.
1.6k · bundle
Reading Plan
Design reading plans with retention strategies. TRIGGERS - Use when user needs help with reading-plan related tasks.
3
Self Learning
Continuous self-improvement through systematic logging, pattern detection, and behavioral updates. Use when: the owner corrects you, a task fails, you discover a better approach, or you notice a recurring pattern. Store raw learnings in .learnings/, update the specific skill or workflow that caused the issue when appropriate, and avoid vague promises to do better.
6
Hard Negative Mixing For Contrastive Learning Arxiv 2010 010
Hard Negative Mixing for Contrastive Learning
6
Badge System
Design badge and achievement systems for learning. TRIGGERS - Use when user needs help with badge-system related tasks.
22
Badge System
Design badge and achievement systems for learning. TRIGGERS - Use when user needs help with badge-system related tasks.
3
Lakatos
Philosophy of science methodology examining how research programs evolve through proofs and refutations
10 · bundle
Planning Patterns
Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.
1.7k · bundle
Self Explanation Prompt Designer
Create self-explanation prompts that deepen understanding of worked examples, texts, or diagrams. Use when students read material passively without engaging with underlying principles.
0
Mooc Design
Design MOOCs with scalable engagement. TRIGGERS - Use when user needs help with mooc-design related tasks.
22
API HTTP Methods
HTTP Methods
18 · bundle
Speculative Decoding
Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques for 1.5-3.6× speedup without quality loss.
10.4k · bundle
Lesson Plan
Create lesson plans with objectives, activities, and assessments. TRIGGERS - Use when user needs help with lesson-plan related tasks.
22
Learn
Adaptive tutoring that diagnoses the learner's level, sets a small objective, teaches with examples, and gives practice with feedback.
3
Teach
Guide users through learning new skills or concepts with structured lessons, reference materials, and progress tracking within a dedicated workspace.
42.4k · bundle
Wang 2023 Voyager
Mental models and decision frameworks for building autonomous agents that continuously learn, explore, and accumulate skills in open-ended environments without human supervision
10 · bundle
Productivity Teach
Teach the user a new skill or concept in a multi-session teaching workspace with missions, lessons, and learning records.
0 · bundle
AI Fundamentals
Explain and apply core ML/AI concepts — model types, training pipelines, evaluation metrics, and neural architectures.
0 · bundle
Dolphins Multimodal Language Model For Driving Arxiv 2312 00
Dolphins: Multimodal Language Model for Driving
6
Autoaugment Learning Augmentation Strategies From Data Arxiv
AutoAugment: Learning Augmentation Strategies from Data
6
Project Based Learning
当需要快速掌握一门新技能或知识领域,且希望通过实践而非单纯理论学习时
11 · bundle
Lesson Plan
Create lesson plans with objectives, activities, and assessments. TRIGGERS - Use when user needs help with lesson-plan related tasks.
3
Learn By Teaching
当需要深化对某个主题的理解、检验知识掌握程度或克服“冒名顶替综合征”时
11 · bundle
Learn
Record, search, and prune per-project learnings in .claude/learnings.jsonl — typed, confidence-scored, searchable across sessions
8 · bundle
Multimodal Learning With Transformers A Survey Arxiv 2206 06
Multimodal Learning with Transformers: A Survey
6
Knowledge Distillation
Compress large language models using knowledge distillation from teacher to student models, covering temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
10.4k · bundle
Ensemble Methods
Expected error decomposes into bias, variance, and irreducible noise.
2
Worked Example Fading Designer
Design a worked example fading sequence from fully worked examples through to independent practice. Use when teaching procedures, algorithms, or multi-step processes to novice learners.
0
Llava Critic Learning To Evaluate Multimodal Models Arxiv 24
LLaVA-Critic: Learning to Evaluate Multimodal Models
6
Learn
Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.
6
Digital Worked Example Sequence
Create an interactive digital worked example sequence with fading for online or blended delivery. Use when building e-learning modules, LMS content, or app-based instruction.
0