Ecosyste.ms: Docker
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Package Usage : pypi : xgboost
Explore the latest package usage data for xgboost in the pypi ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 617
Total downloads: 25,981,324
More details on packages.ecosyste.ms - JSON
armcsp/ml_inf tflite
- version: 1.6.1
egolovanov1/hack-ai git_ms
- version: 1.5.2
damiandimi007/churn_analysis_pl latest
- version: 0.90
ovhaimax/kili latest
- version: 0.90
pandres95/predict-stroke-agent latest
- version: 1.7.1
daimor/irishealth-ml-community-arm64 2023.1.1.380.0-zpm
- version: 1.1.1
sarahbed/spoty latest
- version: 1.7.3
kokutoubanira/jupyterlab-img-sim v1.9
- version: 1.7.3
inseefrlab/detection-bidonvilles v0.0.2
- version: 1.7.4
rapidsai/rapidsai-nightly 23.06-cuda11.8-base-rockylinux8-py3.9
[NIGHTLY] RAPIDS from conda installs of the latest dev branches
- version: 1.7.1
rapidsai/rapidsai 23.08a-cuda11.2.2-py3.9
RAPIDS - Open GPU Data Science
- version: 1.7.1
rapidsai/rapidsai-dev 23.06-cuda11.8-devel-ubuntu22.04-py3.10
RAPIDS - Open GPU Data Science - From-source developer builds
- version: 1.7.1
baseten/truss latest
- version: 1.7.3
inseefrlab/onyxia-jupyter-python py3.11.6-2023.12.18
A Jupyter Lab service built on top of a Python environment tailored for datascience.
- version: 1.7.4, 1.7.6
inseefrlab/onyxia-vscode-python py3.11.6-2023.12.18
A VSCode service built on top of a Python environment tailored for datascience.
- version: 1.7.6, 1.7.4
anarhist/evaluation_task 0545708
- version: 1.6.1
wlmsn/slim_bto-rapids_sentiment_analysis flatupd
- version: 1.7.1
mirekphd/ml-scraper-py39-jup 20231011
- version: 1.7.2
mirekphd/ml-cpu-py39-jup-lite 20230728
- version: 1.7.2
msvignesh29/xgbserver latest
- version: 1.7.5
daimor/iris-ml-community-arm64 latest-preview-zpm
- version: 1.1.1
smartpetdocker/jetpack5 gait_analysis
- version: 1.7.1
liyihui/model_train-server v1.0.23
model_train-server
- version: 1.3.3
liyihui/model_train-worker v1.0.23
- version: 1.3.3
ocdr/d3-datascience-xgb-cpu-multiuser v1.7.1-18
- version: 1.7.1
dspd/sw_etl_kf ub_18_cuda_11_4_3_rtmdet_v1
- version: 1.3.3
yesw2000/ml-pyroot centos7-python39
- version: 1.7.4
pamekitti/altohotel latest
- version: 1.5.0
chawins/prep python3.8
- version: 1.6.1
1228522sh/tensorflow_v11 latest
- version: 1.4.2
fxp0/jupyter-singleclient 0.17
- version: 1.7.4
davidspek/kubeflow-pytorch 0.1
- version: 1.3.3
kariboter/olimp 1
- version: 1.5.2
edmondop/rapids_databricks 1.0
- version: 1.7.1
archilles/aifb-612aa5710bf9-2000 asso
- version: 0.90
inseefrlab/rstudio-gpu latest
- version: 0.81
thefivetoes/sd-test test10
- version: 1.6.1
fishies43/defi latest
- version: 1.6.2
archilles/aifb-612aa5710bf9-chc asso
- version: 0.90
ytenzen/multiplatform-darts-cnn-cifar10-gpu latest
- version: 1.5.0
jiandong/ml-workspace-gpu cuda10.1-pytorch1.4
- version: 0.90
janakiramm/tf-infer-cpu latest
- version: 0.90
alocked/submit latest
- version: 1.5.2
ytenzen/multiplatform-pytorch-gpu latest
- version: 1.5.0
kenwood/tensorflow-2.1.0-notebook-cpu 1.0.0
- version: 0.90
brcmipn/environment-jupyter latest
- version: 1.7.2
pulsarbf/nto_ai latest
- version: 1.5.2
erdeneochir/wombat_predictor v1
Wombat predictor image
- version: 1.4.2
dmartinez05/improved_d3m latest
- version: 0.90
yenjia/gyn-ovary latest
The image was created using the image "projectmoani/monai:1.0.1"
- version: 1.6.1
pomeloop/fastaivc ld
- version: 1.5.2
gesiscss/binder-hyperopt-2dhyperopt-2dsklearn-e03f70 7f4925c9e3ba8cd076fe00ee3a90bb120eec32b1
- version: 0.6a2
nspunn1993/python-clustering2 latest
- version: 1.3.3
wcarroll/pytorch-sleep latest
- version: 1.7.1
lw233/xgboost16 v1.X.0
- version: 1.6.0
yyangatdocker/pytorch-k8s-slurm latest
- version: 1.7.1
unidata/jupyterhub-gpu 802576b3
- version: 1.7.1
archilles/aifb-612aa5710bf9-aicentroupdate asso
- version: 0.90
mohankrishna225/jupyterbook 145
- version: 0.82
davidspek/kubeflow-tensorflow-cpu 2.4.1
- version: 1.3.3
vardhandevalla/pyspark-notebook-default-okta okta1
- version: 0.90, 1.6.1
ricardobarroslourenco/rapidsai_runtime_custom_geo v0.2
Pangeo-like image based on rapids to be used as source for Apptainer HPC containers
- version: 1.4.0
voidrank/mal latest
- version: 1.4.2
valery01/myhahahh latest
- version: 1.5.2
sbaindia/python2.5.1 latest
- version: 1.6.1
ciprnd/onyxia-jupyter-python py3.10.9-2023.05.26
- version: 1.7.1
kavyatennant/multimodelsindockerfile latest1
- version: 1.6.2
nanosolveit/sem_segmentation nanosolveit
- version: 1.6.2
aryandeshpande/neo latest
backend neo
- version: 1.7.3
yiluxiangbei/rosefinch-dashboard 2022.10.18
- version: 1.0.2, 0.82
lizelive/sd latest
- version: 1.6.1
manishsaraf/ogmtensorflow-gpu v1.0
- version: 1.7.4
ccpa5918/pycaret_img latest
- version: 1.5.0
leo999/streamlit v2.2
- version: 1.7.2, 0.90
maryorihuela/cardiovascular_risk_classifier_2 latest
- version: 1.7.1
dejiayinde/flyte_img_0810 e7eda1f1be39bca85358a99ef382cb9c82bfafda
- version: 1.7.4
mattiamico/radar_signal_processing devel
- version: 1.4.2
diwakarcsit/app latest
- version: 0.90
archilles/ide.gpu-py36-j11-tf242 20220623
- version: 0.90
archilles/aifb-612aa5710bf9-nocentroupdate asso
- version: 0.90
dimensionlab/simulation-studio-backend test
- version: 1.4.2, 1.6.1