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dipakkr/awesome-ai-engineering

🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.

Latest metrics (snapshot 2026-10-14)

stars22382
forks4836
issues59
pushed_at2026-06-17T14:00:26Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1422382

ADC Momentum: 20/100

ADC Momentum 20 Leaderboard

Growth velocity32
Consistency26
Recency0
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

description🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
urlhttps://github.com/dipakkr/awesome-ai-engineering
licenseMIT
topicsagentic-ai
ai-agents
ai-engineering
ai-projects
ai-resources
ai-tools
artificial-intelligence
awesome-lists
deep-learning
fine-tuning
generative-ai
large-language-models
created_at2018-09-17T11:15:29Z

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