boltzmann
CommunityExplore Restricted Boltzmann Machines (RBMs) for energy-based generative modeling.
Data & Analytics#collaborative filtering#energy-based models#generative modeling#RBM#feature learning
Authorhung-phan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill unit helps understand and apply Restricted Boltzmann Machines (RBMs), which are energy-based models useful for generative modeling, feature learning, and collaborative filtering.
Core Features & Use Cases
- Generative Modeling: RBMs can learn the underlying distribution of data and generate new samples.
- Feature Learning: Pretrain neural networks by learning to represent the input data effectively.
- Collaborative Filtering: RBMs were historically used for rating prediction in applications like the Netflix Prize.
Quick Start
Learn how RBMs work and their historical context by exploring the 'boltzmann' Skill unit.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: boltzmann Download link: https://github.com/hung-phan/ml-skills/archive/main.zip#boltzmann Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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