null

Login: dask

Company: null

Location: null

email: null

Blog: null

Members

  1. Antoine Pitrou
  2. Benjamin Zaitlen
  3. Christine Doig
  4. Daniel Rodriguez
  5. Jim Crist
  6. Kristopher Overholt
  7. Martin Durant
  8. Matthew Rocklin
  9. Sinhrks
  10. Stephan Hoyer
  11. Tom Augspurger
  12. null
  13. null

Repositories

cachey
Caching based on computation time and storage space
dask
Parallel computing with task scheduling
dask-adlfs
Shim to allow Azure Datalake access in dask
dask-benchmarks
asv benchmarks for dask projects
dask-docker
Docker images for dask-distributed
dask-drmaa
Deploy Dask on DRMAA clusters
dask-ec2
Start a cluster in EC2 for dask.distributed
dask-examples
null
dask-gke
kubernetes setup to bootstrap distributed on google container engine
dask-glm
null
dask-image
Distributed image processing
dask-jobqueue
Deploy Dask on job schedulers like PBS, SLURM, and SGE
dask-kubernetes
Native Kubernetes integration for dask
dask-labextension
null
dask-ml
Distributed and parallel machine learning
dask-ml-benchmarks
null
dask-org
General dask resources that aren't code
dask-searchcv
Tools for performing hyperparameter search with Scikit-Learn and Dask
dask-tensorflow
null
dask-tutorial
Dask tutorial
dask-tutorial-infrastructure
Cluster for the Dask Tutorial.
dask-xgboost
null
dask-yarn
Deploy Dask on YARN clusters
distributed
Distributed computation in Python
fastparquet
python implementation of the parquet columnar file format.
gcsfs
Pythonic file-system interface for Google Cloud Storage
hdfs3
A wrapper for libhdfs3 to interact with HDFS from Python
helm-chart
null
knit
Python interface to YARN
mtprof
Thread-aware Python profiler hack
old-dask-examples
Collection of dask example notebooks
pandas-streaming
null
parquet-integration
Integration tests for various parquet readers and writers
partd
Concurrent appendable key-value storage
s3fs
S3 Filesystem
scipy-tutorials-2018
null
zict
Useful Mutable Mappings

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.