mmccarty's Stars
elastic/elasticsearch
Free and Open, Distributed, RESTful Search Engine
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
rails/rails
Ruby on Rails
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
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
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
dask/dask
Parallel computing with task scheduling
rapidsai/cudf
cuDF - GPU DataFrame Library
cupy/cupy
NumPy & SciPy for GPU
conda/conda
A system-level, binary package and environment manager running on all major operating systems and platforms.
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
dask/dask-tutorial
Dask tutorial
flexflow/FlexFlow
FlexFlow Serve: Low-Latency, High-Performance LLM Serving
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
dask/distributed
A distributed task scheduler for Dask
dask/dask-ml
Scalable Machine Learning with Dask
NVIDIA/cuda-python
CUDA Python Low-level Bindings
dabl/dabl
Data Analysis Baseline Library
nv-legate/cunumeric
An Aspiring Drop-In Replacement for NumPy at Scale
hakanensari/vacuum
Amazon Product Advertising API client
sparklingpandas/sparklingpandas
Sparkling Pandas
fsspec/gcsfs
Pythonic file-system interface for Google Cloud Storage
nv-legate/legate.core
The Foundation for All Legate Libraries
dask/dask-gateway
A multi-tenant server for securely deploying and managing Dask clusters.
amaia/rails-starter-box
Base Vagrant box for development of Rails apps
capitalone/rubicon-ml
Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
davetron5000/receta
Example deployable Rails app using AngularJS
nv-legate/legate.pandas
An Aspiring Drop-In Replacement for Pandas at Scale
rapidsai/deployment
RAPIDS Deployment Documentation