Deepyaman Datta

Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.

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Example project for building scalable data pipelines with Kedro and Ibis.

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pandas backend for Ibis

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Kedro usage for managing Machine Learning (ML) pipelines with SQL BigData in Google BigQuery with the help of Ibis

A Unix backend for Ibis

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a GitHub action to run `pre-commit`

Python SQL Parser and Transpiler

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LeanFrame is a pandas-like API built on top of Ibis. This is a fork of an early version of bigframes (https://github.com/googleapis/python-bigquery-dataframes) and is intended to be a minimal wrapper on top of Ibis without any of the pandas features that make bigframes more complex.

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Create HTML profiling reports from pandas DataFrame objects

A light-weight, flexible, and expressive statistical data testing library

BDD, Python style.

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Settings management using pydantic

Tools used to generate the SciPy conference proceedings

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A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

Expressive analytics in Python at any scale.

A WIP library for developing ML pipelines using Ibis

Building towards preprocessing mushrooms.csv to scoring a XGBoost model

data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

Typer, build great CLIs. Easy to code. Based on Python type hints.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Testing data for Ibis

A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine communication

This is the main repository for SDF documentation found at docs.sdf.com

DuckDB website and documentation

An R package providing access to medium airline flight delay data

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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

scikit-learn: machine learning in Python

Polars plugin for pairwise distance functions

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

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A kedro plugin that streamlines the integration between Kedro projects and external applications, making it easier for you to develop production-ready data science applications.

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Python client for Apache Kafka

An extremely fast Python linter and code formatter, written in Rust.

🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.

Apache Flink

A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.

Apache Flink Playgrounds

Apache Iceberg

Python wrapper for MurmurHash (MurmurHash3), a set of fast and robust hash functions.

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A Fast, Extensible Progress Bar for Python and CLI

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Changelog management tool

Seamless integration of tox into GitHub Actions for tox 3 and 4

Magnificent app which corrects your previous console command.

Feature Store for Machine Learning

♾️ CML - Continuous Machine Learning | CI/CD for ML

The code behind docs.getdbt.com

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Templates for your Kedro projects.

Workflow engine for Kubernetes

OS-agnostic, system-level binary package manager and ecosystem

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Open source platform for the machine learning lifecycle

A collection of python utility functions

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Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Azure Command-Line Interface

Machine Learning Pipelines for Kubeflow

Visualise your Kedro data and machine-learning pipelines and track your ML experiments.

A Python framework for creating reproducible, maintainable and modular data science code.

Kubeflow's public website

Typed interactions with the GitHub API v3

A common base representation of python source code for pylint and other projects

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Develop Dash apps in the Jupyter Notebook and JupyterLab

Find documentation and a template project for delivering Kedro training.

Parallel computing with task scheduling

A distributed task scheduler for Dask

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A Python library that helps data scientists to infer causation rather than observing correlation.

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NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

A game theoretic approach to explain the output of any machine learning model.

Scalable Machine Learning with Dask

The easiest way to automate your data

🎐 a python library for doing approximate and phonetic matching of strings.

Python composable command line interface toolkit

The Python package installer

The Python programming language

The fundamental package for scientific computing with Python.

🍻 Default formulae for the missing package manager for macOS

The Cloud Native Application Proxy

NBA Stats API via Basketball Reference

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

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Python Development Workflow for Humans.

Predict Health Insurance Owners' who will be interested in Vehicle Insurance

Community-made poetry about infrastructure

Canonical source for classifiers on PyPI.

distutils as found in cpython

Content for neo4j.com/developer

Documentation for Enron data.

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Must-read papers on network representation learning (NRL) / network embedding (NE)

Survival analysis on the nCoV2019 dataset

Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China

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Style guides for Google-originated open-source projects

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Survival analysis in Python

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Koalas: pandas API on Apache Spark

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

IVADO/ Mila's Summer Deep Learning School

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The uncompromising Python code formatter

Data Cleaning Tools Orchestration.

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A Machine Learning System for Data Enrichment.

mypy typesheds for the Python data stack

scikit-learn compatible implementation of stability selection.

Apache Spark

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Apache Beam Site

Apache Beam

Fully featured framework for fast, easy and documented API development with Flask

A general scraper/exporter for matplotlib plots

D3 Renderings of Matplotlib Graphics

matplotlib: plotting with Python

A consistent code style guide for SQL to ensure legible and maintainable projects

A guide for programming in style.

🌟 JavaScript Style Guide, with linter & automatic code fixer

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