Explore how different wildfire scenarios could affect Berkeley's neighborhoods and routes, and see which access vulnerabilities and possible mitigations recur across scenarios. Built from public data.
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読み込み中…
リポジトリにAIコーディングツールの痕跡がある公開プロジェクトを掲載日順に表示します。
Explore how different wildfire scenarios could affect Berkeley's neighborhoods and routes, and see which access vulnerabilities and possible mitigations recur across scenarios. Built from public data.
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Upload a WhatsApp chat export and get honest stats plus an AI-written read on the relationship.
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DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical
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Analise o estoque e o desempenho de vendas através da importação de planilhas Excel
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AI要約・ウェブサイト
2,919 tasks in 11 domains, 21 models. Leaderboard, per-domain rankings and two reliability tests.
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Understand how your customers use your product with powerful analytics and insights. Look at individual user journeys, feature adoption, and more.
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Ask questions of a CSV. An LLM plans the analysis and explains the results; every number it states is independently re-computed from your data.
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A Rust reimplementation of the Ensembl Variant Effect Predictor (VEP): the same inputs, flags and output formats, two orders of magnitude faster.
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プロジェクトフォルダでコマンドを1回実行。AIで作っていれば、AI機能は必須ではありません。
/nomorevibe掲載方法を見る