数据与 AI技能

Access NCI Imaging Data Commons for medical imaging datasets

中文简介正在准备中。当前显示原文说明。

Hypothesis generation from scientific literature and data patterns

中文简介正在准备中。当前显示原文说明。

Genomic interval machine learning for regulatory element analysis

中文简介正在准备中。当前显示原文说明。

Flow cytometry data file parsing and analysis

中文简介正在准备中。当前显示原文说明。

Automated exploratory data analysis with statistical summaries and visualizations

中文简介正在准备中。当前显示原文说明。

Integration with DNAnexus genomics data analysis platform

中文简介正在准备中。当前显示原文说明。

Access Cancer Dependency Map project data for functional genomics

中文简介正在准备中。当前显示原文说明。

Financial data aggregation and economic indicator analysis

中文简介正在准备中。当前显示原文说明。

Tools for deep-sequencing data analysis and visualization

中文简介正在准备中。当前显示原文说明。

Parallel and distributed computing for large-scale data processing

中文简介正在准备中。当前显示原文说明。

Geospatial data processing, coordinate transforms, and mapping

中文简介正在准备中。当前显示原文说明。

Access Federal Reserve Economic Data (FRED) time series

中文简介正在准备中。当前显示原文说明。

Create data-driven scientific infographics and visual summaries

中文简介正在准备中。当前显示原文说明。

Astronomical computations, coordinate transforms, and celestial data analysis

中文简介正在准备中。当前显示原文说明。

Annotated data matrix operations for single-cell genomics using AnnData

中文简介正在准备中。当前显示原文说明。

Time series analysis and temporal pattern detection for scientific data

中文简介正在准备中。当前显示原文说明。

Access and analyze the CZ CELLxGENE Census single-cell data

中文简介正在准备中。当前显示原文说明。

Financial market data retrieval and analysis via Alpha Vantage API

中文简介正在准备中。当前显示原文说明。

Optimizes SQL queries, designs database schemas, troubleshoots performance with window functions, CTEs, indexing strategies, and query plan analysis across database dialects.

中文简介正在准备中。当前显示原文说明。

Designs production-grade RAG systems with document chunking, embedding generation, vector store configuration, hybrid search pipelines, reranking, and retrieval quality evaluation.

中文简介正在准备中。当前显示原文说明。

Writes, refactors, and evaluates prompts for LLMs generating optimized templates, structured output schemas, evaluation rubrics, and test suites.

中文简介正在准备中。当前显示原文说明。

Performs pandas DataFrame operations for data analysis, manipulation, transformation, time series analysis, merging, aggregation, and performance optimization.

中文简介正在准备中。当前显示原文说明。

Designs production-grade ML pipeline infrastructure with experiment tracking, Kubeflow/Airflow DAGs, feature store schemas, model registries, and automated retraining workflows.

中文简介正在准备中。当前显示原文说明。

Fine-tunes LLMs and trains custom models using LoRA/QLoRA adapters, JSONL training datasets, hyperparameter configuration, RLHF, DPO, and model quantization.

中文简介正在准备中。当前显示原文说明。