Quiz: Python MarkItDown: Convert Documents Into LLM-Ready Markdown
realpython.com·11h
🔍Query Languages & APIs
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Big-O Notation: Explained in 8 Minutes
blog.algomaster.io·1d
🌐Distributed Systems
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Misclassification in memory modification in <i>App<sup>NL-G-F</sup></i> knock-in mouse model of Alzheimer’s disease
elifesciences.org·1d
🔀Transformers
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A PoC to make a backdoored PyTorch neural network
🤖AI
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ProGraphTrans: multimodal dynamic collaborative framework for protein representation learning
bmcbiol.biomedcentral.com·2d
🧭Vector Databases
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[D] PhD New Grad Role OA
🔧Feature Engineering
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Geonum – geometric number library for unlimited dimensions with O(1) complexity
🔧Feature Engineering
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·2d
🔧Feature Engineering
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Reconstruction of existing buildings for evacuation assessment under emergency situations using 3D Gaussian splatting and machine learning
sciencedirect.com·1d
🔧Feature Engineering
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Benchmarking individual tree segmentation using multispectral airborne laser scanning data: the FGI-EMIT dataset
arxiv.org·1d
🔧Feature Engineering
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Comparative Analysis of Discrete and Continuous Action Spaces in Reservoir Management and Inventory Control Problems
arxiv.org·18h
🎮Reinforcement Learning
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Secretome translation shaped by lysosomes and lunapark-marked ER junctions
nature.com·6h
🔧Feature Engineering
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InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames
arxiv.org·2d
🧭Vector Databases
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Moving regression artificial neural network framework for reliability evaluation of complex structure/system
sciencedirect.com·1d
🤖AI
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RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks
arxiv.org·1d
🤖AI
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Balanced Multimodal Learning via Mutual Information
arxiv.org·1d
🔧Feature Engineering
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
🔧Feature Engineering
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Confounding Factors in Relating Model Performance to Morphology
arxiv.org·1d
🔀Transformers
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·1d
🤖AI
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