Stack Monitor
Tracking the AI/ML stack — from research papers to production infrastructure.
Independent analysis of the tools, models, and infrastructure shaping production AI. Cut through the noise — get actionable technical insights delivered weekly.
Latest
- tools
everglow01/Attention_Module : Modular PyTorch implementations of popular attention mechanisms (SE, CBAM, ECA, CA, BAM, SimAM, and more) designed for easy integration into any CNN or Transfor
Modular PyTorch implementations of popular attention mechanisms (SE, CBAM, ECA, CA, BAM, SimAM, and more) designed for easy integration into any CNN or Transfor
- tools
erickson-ivanowski/NaturalQuery : NL2SQL engine for .NET — convert natural language questions into SQL queries using LLMs
NL2SQL engine for .NET — convert natural language questions into SQL queries using LLMs
- tools
fattail4477/claw: decode - Decoding Claude Code's leaked 512K-line source — hidden features, 43 tool definitions, system prompts, architecture patterns
Decoding Claude Code's leaked 512K-line source — hidden features, 43 tool definitions, system prompts, architecture patterns
- tools
sunnnybala/Rstack : Research automation skills for Claude Code. Idea to submittable paper in one session.
Research automation skills for Claude Code. Idea to submittable paper in one session.
- tools
nikshepsvn/bankai : Ultra-Sparse Adaptation of 1-Bit LLMs via XOR Patches
Ultra-Sparse Adaptation of 1-Bit LLMs via XOR Patches
- tools
R6410418/Jackrong: llm-finetuning-guide -
R6410418/Jackrong: llm-finetuning-guide -
- tools
rasbt/mini: coding-agent - Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.
Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.
- analysis
Welcome to Stack Monitor
Introducing Stack Monitor — your source for AI/ML infrastructure analysis, research breakdowns, and production engineering insights.