the terminal of the future
π»Terminal Emulators
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The Complete Guide to Building Data Pipelines That Donβt Break
kdnuggets.comΒ·1d
πData Pipelines
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
towardsdatascience.comΒ·1d
πData Engineering
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"2026", AI Users vs The Unemployed.
πCode Review
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Improving Asset Allocation in a Fast Moving Consumer Goods B2B Company: An Interpretable Machine Learning Framework for Commercial Cooler Assignment Based on Mu...
arxiv.orgΒ·2d
πdbt
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Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity
arxiv.orgΒ·2d
πJupyter Notebooks
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HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection
arxiv.orgΒ·2d
β
Pydantic
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Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
arxiv.orgΒ·2d
π»ββοΈPolars
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RELEAP: Reinforcement-Enhanced Label-Efficient Active Phenotyping for Electronic Health Records
arxiv.orgΒ·1d
β
Pydantic
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Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation
arxiv.orgΒ·7h
π¬Synthetic Data
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Algorithmic Advice as a Strategic Signal on Competitive Markets
arxiv.orgΒ·7h
πCode Review
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