Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- apache-airflow
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
Automatically visualize your pandas dataframe via a single print! 📊 💡
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
A set of useful perceptually uniform colormaps for plotting scientific data
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.
Read and write Neuroglancer datasets programmatically.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Automatically version jupyter notebooks in JupyterLab
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.