No visual example yet
Explore the skillMachinelearning
dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
OPENAGENTSKILL / DIRECTORY
다음 작업에 맞는 스킬을 찾아보세요. Codex, Claude Code, Cursor 등을 지원합니다.
23 Skills
검색 결과: 23
No visual example yet
Explore the skilldotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
No visual example yet
Explore the skillCode Repository for Machine Learning with PyTorch and Scikit-Learn
No visual example yet
Explore the skillJushBJJ
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
No visual example yet
Explore the skillrapidsai
No visual example yet
Explore the skillamitness
No visual example yet
Explore the skillrust-ml
No visual example yet
Explore the skilluber
Uplift modeling and causal inference with machine learning algorithms
No visual example yet
Explore the skillpy-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
No visual example yet
Explore the skillggml-org
No visual example yet
Explore the skillgunthercox
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
No visual example yet
Explore the skillguess-js
🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web
No visual example yet
Explore the skillrasbt
A library of extension and helper modules for Python's data analysis and machine learning libraries.
No visual example yet
Explore the skillzuruoke
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
No visual example yet
Explore the skillPAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
No visual example yet
Explore the skillalibaba
No visual example yet
Explore the skillNVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods