Ecosyste.ms: Repos

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Package Usage: conda: ucx-proc


1 version
Latest release: almost 5 years ago

View more package details: https://packages.ecosyste.ms/registries/anaconda.org/packages/ucx-proc

Dependent Repos 5

rapidsai/dask-build-environment
Build environments for various dask related projects on gpuCI
  • * dask/environment.yml
  • * dask_sql/environment.yml
  • * distributed/environment.yml

Size: 123 KB - Last synced: 15 days ago - Pushed: 15 days ago

jdye64/dask-sql Fork of dask-contrib/dask-sql
Distributed SQL Engine in Python using Dask
  • * continuous_integration/gpuci/environment.yaml

Size: 2.92 MB - Last synced: 7 months ago - Pushed: 7 months ago

charlesbluca/dask-sql Fork of dask-contrib/dask-sql
Distributed SQL Engine in Python using Dask
  • * continuous_integration/gpuci/environment.yaml

Size: 2.84 MB - Last synced: about 2 months ago - Pushed: about 2 months ago

andygrove/dask-sql Fork of dask-contrib/dask-sql
Distributed SQL Engine in Python using Dask
  • * continuous_integration/gpuci/environment.yaml

Size: 3.38 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

ayushdg/dask-sql Fork of dask-contrib/dask-sql
Distributed SQL Engine in Python using Dask
  • * continuous_integration/gpuci/environment.yaml

Size: 3.09 MB - Last synced: 10 months ago - Pushed: 10 months ago

shirvalkarlab/fitbit-clustering-repo
This repository contains code that clusters FitBit data and pain surveys from chronic pain patients undergoing DBS.
  • 1.0.0 environment.yml

Size: 13.7 KB - Last synced: 10 months ago - Pushed: 10 months ago

dask-contrib/dask-sql
Distributed SQL Engine in Python using Dask
  • * docs/environment.yml

Size: 3.35 MB - Last synced: 8 days ago - Pushed: 8 days ago

symmeHub/positron
POSITRON: PythOn for Science In The Reblochon cOuNtry
  • 1.0.0 Docker/environment.yml

Size: 32.9 MB - Last synced: about 2 months ago - Pushed: about 2 months ago

1511878618/ppp_prediction
  • 1.0.0 environment.yml

Size: 13.1 MB - Last synced: about 2 months ago - Pushed: about 2 months ago

jzatika1/ml-ids-test-suite
This project presents a comprehensive exploration into the enhancement of Intrusion Detection Systems (IDS) using the Extreme Gradient Boosting (XGBoost) algorithm. Focused on the detection of anomalies within diverse datasets, particularly in cloud security contexts.
  • 1.0.0.* environment.yml

Size: 59.6 KB - Last synced: 21 days ago - Pushed: 23 days ago