Find all these projects in our AI Engineering Hub, along with 90+ hands-on projects: https://
github.com/patchy631/ai-e
ngineering-hub
… (don't forget to star )
OPEN SOURCE
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AI Engineering Hub with 90+ Hands-On Projects Available
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Community-Driven AI Model Marketplaces: Hugging Face and Replicate
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You can find a lot of models for that and more on a community-driven marketplace like Hugging Face or Replicate.
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30 Years Building on Non-Standard Open Source Technology Stack
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guess everything i've built for the last 30 years has been on a non-standard stack then. linux, mysql, perl or python, apache or nginx or caddy, postfix
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Linux Web Servers Labeled Non-Standard Stack Nowadays
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til some folks nowadays consider running a normal linux web server like we've all done for decades to be a "non-standard stack" feels like some kind of learned helplessness or something
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AI System Transforms Historical Research into Structured Timelines
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Event Deep Research An AI system that transforms historical research into structured timelines, automatically extracting and organizing biographical data from multiple sources into chronological JSON format. Check out the project https://
github.com/bernatsampera/
event-deep-research
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NVIDIA Nemotron Enables Open Collaborative AI Model Development
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Open. Collaborative. Scalable. NVIDIA Nemotron gives developers the data + tools to build smarter, faster AI models, together. Go see what’s possible with open-source AI at #OpenSourceAIWeek https://
nvda.ws/4hn46Pe -
LangGraph × cognee Integration: Persistent Memory for AI Agents
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LangGraph × cognee Integration cognee brings persistent memory to LangGraph agents, letting AI applications maintain context across sessions while seamlessly working with existing LangGraph features. Check out how to add memory to your agents https://
cognee.ai/blog/integrati
ons/langgraph-cognee-integration-build-langgraph-agents-with-persistent-cognee-memory
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DCLM Core Score Model Evaluation Implementation
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Thank you! I'm quite happy with the core_eval.py rewrite. I wanted to evaluate my base model with the DCLM "core score" as described in their paper, but what felt like it should surely be a simple thing of ~300 lines of code actually required me to pip install and depend on a
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Game Theory Prompt for Any Challenge
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Steal my Grok 4 prompt to solve any challenge using Game Theory. ——————————-
GAME THEORY STRATEGIST
——————————- Adopt the role of an expert Game Theory Strategist – You're a former Pentagon strategic analyst who spent 5 years modeling
