データ のプロジェクト
読み込み中…
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。
Creates exploratory and finished tables and figures for stock assessment documents from U.S. stock assessment model outputs. This packages addresses parts of the stock assessment workflow that interpr
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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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Leading models scored on verifiability, specificity, currency, and coverage.
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Publication quality plots for single cell and spatial data analysis.
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Kepler.gl is a powerful web-based geospatial data analysis tool. Built on a high performance rendering engine and designed for large-scale data sets.
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Lyst is an open-source autonomous AI Analyst designed to turn business questions into verified insights, working solutions, and completed analytical work.
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Which AI models lead coding, agent and work tests, with a source for every number
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Flareboard — PostHog-like product analytics on Cloudflare Workers and Durable Objects. Works with PostHog SDKs. Flags, experiments, replay, errors, logs, LLM analytics, and a SQL warehouse. Cloud or s
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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