Moves Are Broken
youtube.comยท2dยท
๐Ÿค–AI
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Show HN: I built an edge ML system to detect and classify trick-or-treaters
basecase.vcยท5dยท
Discuss: Hacker News
๐Ÿ‘๏ธComputer Vision
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Code legacy: Analyzing Erlang's C and C++ modules
pvs-studio.comยท1dยท
Discuss: Hacker News
๐Ÿš€MLOps
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"Why didn't testing find this issue?" Because you desire something that doesn't exist!
maaikebrinkhof.nlยท2h
๐Ÿš€MLOps
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Optimizing Datalog for the GPU
dl.acm.orgยท3dยท
Discuss: Lobsters
โ›“๏ธLangChain
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[P] arxiv troller: arxiv search tool
reddit.comยท4dยท
๐Ÿ”RAG
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Master Python Web Scraping with 5 Real-World Projects
github.comยท3dยท
Discuss: DEV
๐ŸPython Data Stack
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Timelapse of level creation (<1 min) - Battle City NES remake
reddit.comยท4hยท
Discuss: r/godot
๐Ÿš€MLOps
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Insofar As I Think LLMs "Don't Really Understand Things", What Do I Mean By That?
lesswrong.comยท8h
๐Ÿค–LLM
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MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal MathematicalReasoning
dev.toยท2dยท
Discuss: DEV
๐Ÿค–AI
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We Stopped Reaching for PySpark by Habit. Polars Made Our Small Jobs Boringly Fast.
dev.toยท1dยท
Discuss: DEV
๐ŸPython Data Stack
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Left Atrial Segmentation with nnU-Net Using MRI
arxiv.orgยท2d
๐Ÿ‘๏ธComputer Vision
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.orgยท4d
๐Ÿค–AI
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Enhancing LOD Integrity via Hyperdimensional Semantic Graph Normalization & Automated Anomaly Detection
dev.toยท5dยท
Discuss: DEV
๐Ÿš€MLOps
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Boosting Your Dev Career: A Deep Dive into Free AI Tools for Developers (2025-11-08)
dev.toยท1dยท
Discuss: DEV
โ›“๏ธLangChain
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.comยท3dยท
Discuss: Hacker News
โ›“๏ธLangChain
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NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arxiv.orgยท4d
๐Ÿš€MLOps
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Frontend or Backend: Where Full-Stack Devs Spend Their Time
thenewstack.ioยท18h
โ›“๏ธLangChain
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CytoNet: A Foundation Model for the Human Cerebral Cortex
arxiv.orgยท4d
๐Ÿ‘๏ธComputer Vision
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.orgยท5d
๐Ÿค–Transformers
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