XRBM
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
Install / Use
/learn @omimo/XRBMREADME
xRBM Library
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
Installation
Using pip:
pip install xrbm
Examples
Tutorial 1: Training an RBM on MNIST Dataset
Tutorial 2: Training an RBM on MNIST Dataset - More Tricks
Tutorial 3: Training a Conditional RBM on Timeseries Data
Documentation
Feedback, Bugs, and Questions
For any questions, feedback, and bug reports, please use the Github Issues.
Credits
Created by Omid Alemi
License
This code is available under the MIT license.
Related Skills
claude-opus-4-5-migration
85.3kMigrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5
model-usage
342.5kUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
TrendRadar
50.2k⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。
mcp-for-beginners
15.7kThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
