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Natural language processing for word sense disambiguation and information extraction
arxiv.org·14h·
Discuss: r/compsci
📥Feed Aggregation
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·1h·
Discuss: DEV
🌊Stream Processing
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Algebraic Topology 1: Homotopy Equivalence
youtube.com·7h
🕸️Algebraic Topology
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Voronoi Adjacency Graph
habib.bearblog.dev·5d
📊Computational Geometry
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·7h
📝Parsing Grammars
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Gaussian concentration bounds for probabilistic cellular automata | Journal of Statistical Physics
link.springer.com·1d
🔲Cellular Automata
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Inferal Workspace Architecture: How We Work at Inferal
gist.github.com·2d·
Discuss: Hacker News
📦Git LFS
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
📐Linear Algebra
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LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs
arxiv.org·3d
🏺Computational Archaeology
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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
📐Compression Mathematics
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Navigating the Labyrinth: Effective Database Indexing Strategies
dev.to·2d·
Discuss: DEV
📇Indexing Strategies
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An O(m) Algorithm for Cores Decomposition of Networks
dev.to·36m·
Discuss: DEV
🕸️Network Topology
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Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG)
vibe.forem.com·3d·
Discuss: DEV
✅Format Verification
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·1d·
Discuss: DEV
📊Spectral Graphs
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Pokémon Team Optimization
nchagnet.pages.dev·1d·
Discuss: Hacker News
📈Linear programming
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Kibana: Visualizing Your Data Story
dev.to·9h·
Discuss: DEV
🏺ZIP Archaeology
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·7h·
Discuss: DEV
🌀Brotli Internals
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Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive Constraints
arxiv.org·2d
🧮Vector Embeddings
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.com·2d
📊Search Ranking
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