mmccarty

mmccarty's Stars

• elastic/elasticsearch

  Free and Open, Distributed, RESTful Search Engine

  Language:Java69.4k2.7k36.1k24.6k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.4k2.1k11.1k25.2k

• rails/rails

  Ruby on Rails

  Language:Ruby55.5k2.3k17.5k21.5k

• pandas-dev/pandas

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

  Language:Python43.2k1.1k26.8k17.8k

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.1k9115.3k8.7k

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22k1.5k12215.1k

• PrefectHQ/prefect

  Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

  Language:Python15.8k1645.4k1.5k

• dask/dask

  Parallel computing with task scheduling

  Language:Python12.4k2125.1k1.7k

• rapidsai/cudf

  cuDF - GPU DataFrame Library

  Language:C++8.2k1506.4k883

• cupy/cupy

  NumPy & SciPy for GPU

  Language:Python8.1k1262.3k807

• conda/conda

  A system-level, binary package and environment manager running on all major operating systems and platforms.

  Language:Python6.3k1969.7k1.6k

• rapidsai/cuml

  cuML - RAPIDS Machine Learning Library

  Language:C++4.1k722.5k526

• dask/dask-tutorial

  Dask tutorial

  Language:Jupyter Notebook1.8k90104702

• flexflow/FlexFlow

  FlexFlow Serve: Low-Latency, High-Performance LLM Serving

  Language:C++1.6k33639223

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.6k44206215

• dask/distributed

  A distributed task scheduler for Dask

  Language:Python1.6k563.6k715

• dask/dask-ml

  Scalable Machine Learning with Dask

  Language:Python89040486255

• NVIDIA/cuda-python

  CUDA Python Low-level Bindings

  Language:Python848337866

• dabl/dabl

  Data Analysis Baseline Library

  Language:Jupyter Notebook72223153105

• nv-legate/cunumeric

  An Aspiring Drop-In Replacement for NumPy at Scale

  Language:Python6102128969

• hakanensari/vacuum

  Amazon Product Advertising API client

  Language:Ruby554346481

• sparklingpandas/sparklingpandas

  Sparkling Pandas

  Language:Python363377280

• fsspec/gcsfs

  Pythonic file-system interface for Google Cloud Storage

  Language:Python32814321142

• nv-legate/legate.core

  The Foundation for All Legate Libraries

  Language:Python186914261

• dask/dask-gateway

  A multi-tenant server for securely deploying and managing Dask clusters.

  Language:Python1361732388

• amaia/rails-starter-box

  Base Vagrant box for development of Rails apps

  Language:Puppet13311446

• capitalone/rubicon-ml

  Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

  Language:Jupyter Notebook126713732

• davetron5000/receta

  Example deployable Rails app using AngularJS

  Language:Ruby7511933

• nv-legate/legate.pandas

  An Aspiring Drop-In Replacement for Pandas at Scale

  Language:C++738312

• rapidsai/deployment

  RAPIDS Deployment Documentation

  Language:Jupyter Notebook9818628