pbierkortte

pbierkortte's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k1.1k16.2k27.1k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook95.5k6917.9k15.5k

• nektos/act

  Run your GitHub Actions locally 🚀

  Language:Go55.8k1671.2k1.4k

• ziglang/zig

  General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

  Language:Zig35.2k37111.6k2.6k

• reflex-dev/reflex

  🕸️ Web apps in pure Python 🐍

  Language:Python20.5k1591.7k1.2k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.3k3071.4k2.6k

• dbt-labs/dbt-core

  dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

  Language:Python10k1415.6k1.6k

• mage-ai/mage-ai

  🧙 Build, run, and manage data pipelines for integrating and transforming data.

  Language:Python8k62880776

• jackyzha0/quartz

  🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites

  Language:TypeScript7.4k387462.5k

• tobymao/sqlglot

  Python SQL Parser and Transpiler

  Language:Python6.8k411.9k714

• ibis-project/ibis

  the portable Python dataframe library

  Language:Python5.3k843.2k600

• dbt-labs/dbt-utils

  Utility functions for dbt projects.

  Language:Makefile1.4k38398500

• dbt-labs/metricflow

  MetricFlow allows you to define, build, and maintain metrics in code.

  Language:Python1.1k2032496

• calogica/dbt-expectations

  Port(ish) of Great Expectations to dbt test macros

  Language:Shell1.1k13162141

• abertsch72/unlimiformer

  Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"

  Language:Python1.1k236080

• dynamicslab/databook_python

  IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

  Language:Jupyter Notebook836290307

• EqualExperts/dbt-unit-testing

  This dbt package contains macros to support unit testing that can be (re)used across dbt projects.

  Language:Shell4241612079

• dbt-labs/dbt-external-tables

  dbt macros to stage external sources

  Language:Jupyter Notebook3149164123

• dbt-labs/dbt-bigquery

  dbt-bigquery contains all of the code required to make dbt operate on a BigQuery database.

  Language:Python22312518157

• dbt-labs/dbt_metrics

  Macros for calculating metrics

  Language:Python214911347

• fivetran/dbt_ad_reporting

  Fivetran's ad reporting dbt package. Combine your Facebook, Google, Pinterest, LinkedIn, Twitter, Snapchat, Microsoft, TikTok, Reddit, Amazon, and Apple Search advertising metrics using this package.

  Language:Shell149394756

• dbt-labs/dbt-docs

  Auto-generated data documentation site for dbt projects

  Language:JavaScript1431726077

• dylewsky/Data_Driven_Science_Python_Demos

  IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

  Language:Jupyter Notebook12844367

• PrefectHQ/prefect-aws

  Prefect integrations with AWS.

  Language:Python85139340

• dbt-labs/dbt-semantic-interfaces

  The shared semantic layer definitions that dbt-core and MetricFlow use.

  Language:Python741011514

• MaxHalford/taxi-demo-rp-mz-rv-rd-st

  🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi trip durations

  Language:Python46403

• tnightengale/dbt-activity-schema

  A dbt-Core package for generating models from an activity stream.

  Language:SQL393145

• anna-geller/prefect-cloud-gcp

  Repository template to get started with Prefect Cloud & Google Cloud

  Language:Python24209

• dbt-labs/rapid-onboarding-exemplar

  dbt Project for Rapid Onboarding instructors to use in instruction and learners to reference throughout the course.

  Language:Python224014

• dbt-labs/actions

  Common GitHub actions and workflows for maintaining dbt

  Language:Python123723