oldpierrebrunelle

oldpierrebrunelle's Stars

• anyscale/academy

  Ray tutorials from Anyscale

  Language:Jupyter Notebook580195

• nums-project/nums

  A library that translates Python and NumPy to optimized distributed systems code.

  Language:Python13126

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.7k7.9k

• ray-project/ray

  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.

  Language:Python33k5.6k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.3k2.2k

• jupyterlab/jupyterlab-data-explorer

  First class datasets in JupyterLab

  Language:TypeScript17838

• alpacahq/pylivetrader

  Python live trade execution library with zipline interface.

  Language:Python661196

• addisonlynch/iexfinance

  Python SDK for IEX Cloud

  Language:Python649136

• SanikaVT/Real-Estate

  Machine learning Regression problem with easy understandable solutions

  Language:Jupyter Notebook3528

• MBKraus/Predicting_real_estate_prices_using_scikit-learn

  Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

  Language:Python15552

• jupyter/enhancement-proposals

  Enhancement proposals for the Jupyter Ecosystem

  Language:Python11565

• awslabs/datawig

  Imputation of missing values in tables.

  Language:JavaScript47469

• awslabs/deequ

  Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

  Language:Scala3.3k532