Ecosyste.ms: Docker
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Package Usage : pypi : treelite
Explore the latest package usage data for treelite in the pypi ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 162
Total downloads: 1,351,447
More details on packages.ecosyste.ms - JSON
mirekphd/ml-cpu-py38-jup-cust 20230623
- version: 3.2.0, 3.1.0
mirekphd/ml-gpu-py38-cuda112-cust 20230623
- version: 3.1.0, 3.2.0
projectmonai/monailabel 0.8.0
- version: 3.1.0, 2.4.0
inseefrlab/blazingsql latest
- version: 1.1.0
navarrepratt/slurm-nemo 2023-02-01_15-34-17.228_EST
- version: 2.4.0
navarrepratt/pytorch-ngc 2023-02-01_15-34-17.228_EST
- version: 2.4.0
mirekphd/ml-cpu-py39-jup-cust 20231009
- version: 3.1.0
navarrepratt/stable-diffusion-trt 8.5.2
- version: 2.4.0
yuewuust/nvidia-pytorch 1.12.0-py3-our-v4
- version: 2.4.0
mithilaidocker/audiotranscribe master
- version: 2.4.0
ljocha/asmsa sitsem2022
- version: 2.4.0
navarrepratt/pytorch_dist_resnet50 14
- version: 2.4.0
yaoyuh/ngc_x86_daa 22.12_03_fiftyone
Images for x86 based on NGC images. For DAA project.
- version: 2.4.0
nasanccs/nccs-lcluc tensorflow
- version: 2.1.0
anoophpe/dev-megatron 1.0
- version: 2.3.0
ziippy/inferencer 22.05
- version: 2.1.0, 2.3.0
navarrepratt/pytorch_mpi_resnet50 cuda-12.0.1
- version: 2.4.0
huggingface/transformers-pytorch-deepspeed-latest-gpu-test latest
- version: 2.4.0
yogi0421/dlib-base-image nvrc-tf-python38_dlib19.24_fastai_image-tabular_cuda11.8_ubuntu20.04
- version: 2.4.0
mirekphd/ml-cpu-py39-vsc-cust 20231008
- version: 3.2.0, 3.9.0
nasanccs/nga-deeplearning latest
- version: 0.93
richardlee0211/mlbench_pytorch_002 init02
- version: 2.3.0
togethercomputer/fastertransformer v1.0.1-main.20230228012444
- version: 2.2.1
zuojianghua/stable-diffusion-docker-image 20230505
- version: 3.1.0, 2.4.0
gpucitesting/rapidsai-pr285 23.04-cuda11.4-devel-rockylinux8-py3.8
- version: 3.1.0
fgeraci18/rapids_tensorflow v0.2
- version: 2.3.0
mallonn/ml-models-gpu 1.2.0
- version: 3.0.0
gpucitesting/rapidsai-driver-pr285 23.02-cuda11.8-devel-centos7-py3.8
- version: 3.1.0
richardademefun/gantraining latest
- version: 2.1.0
t9kpublic/nanogpt test-sdk-v2
- version: 3.0.1
nasanccs/dgxrapids latest
- version: 0.93
togethercomputer/whisper v1.0.1-main.20230217194853
- version: 2.4.0
etretiakov/workbench-session-complete jammy-2023.10.24-custom-12.5
- version: 3.0.0, 3.1.0
roding42/alm-nvc-training 22.08.01-py3
- version: 2.4.0
cryolite/kanachan latest
- version: 2.4.0
rapidsai/rapidsai-nightly 23.06-cuda11.8-base-rockylinux8-py3.9
[NIGHTLY] RAPIDS from conda installs of the latest dev branches
- version: 3.2.0
rapidsai/rapidsai 23.08a-cuda11.2.2-py3.9
RAPIDS - Open GPU Data Science
- version: 3.2.0
gpuci/rapidsai-arm64 23.08-cuda11.4-devel-ubuntu20.04-py3.9
- version: 3.2.0
rapidsai/rapidsai-dev 23.06-cuda11.8-devel-ubuntu22.04-py3.10
RAPIDS - Open GPU Data Science - From-source developer builds
- version: 3.2.0
wlmsn/slim_bto-rapids_sentiment_analysis flatupd
- version: 3.0.0
mirekphd/ml-scraper-py39-jup 20231011
- version: 3.9.0
smartpetdocker/jetpack5 gait_analysis
- version: 3.0.1
chawins/prep python3.8
- version: 2.4.0
gpucitesting/rapidsai-driver-arm64-pr286 23.06-cuda11.8-devel-ubuntu22.04-py3.9
- version: 3.2.0
edmondop/rapids_databricks 1.0
- version: 3.2.0
ytenzen/multiplatform-darts-cnn-cifar10-gpu latest
- version: 2.1.0
ytenzen/multiplatform-pytorch-gpu latest
- version: 2.1.0
erdeneochir/wombat_predictor v1
Wombat predictor image
- version: 1.3.0
yenjia/gyn-ovary latest
The image was created using the image "projectmoani/monai:1.0.1"
- version: 2.4.0
wcarroll/pytorch-sleep latest
- version: 3.0.1
yyangatdocker/pytorch-k8s-slurm latest
- version: 3.0.1
ricardobarroslourenco/rapidsai_runtime_custom_geo v0.2
Pangeo-like image based on rapids to be used as source for Apptainer HPC containers
- version: 1.1.0
voidrank/mal latest
- version: 2.1.0
lizelive/sd latest
- version: 2.4.0
mattiamico/radar_signal_processing devel
- version: 1.3.0
dimensionlab/simulation-studio-backend test
- version: 2.4.0
t9kpublic/mlperf-single-stage-detector v2.1
- version: 2.4.0
aimehub/tensorflow-2.10.1-nvidia-cuda11.8 latest
- version: 2.4.0
anonamename/kaggle_nfl-player-contact-detection latest
- version: 2.1.0
ljocha/gc-ms_bart nvidia-0.15
- version: 2.4.0
pjabadesco/docker-tensorflow22 0.05
- version: 2.4.0
gcfntnu/cellbender 0.3.0
- version: 2.3.0
bladerunnerlabs/dev-mesh-nvidia-pytorch 0.4
- version: 2.2.1
rainbowsecret/pytorch-13 20230420
- version: 3.0.1
bladerunnerlabs/mesh-nvidia-pytorch 0.3
- version: 2.2.1
nasanccs/smce-dsg-tensorflow-base latest
- version: 2.3.0
soar97/sherpa_server 22.12
- version: 2.4.0
patoalejor/pytorch dev-scms
- version: 2.4.0
lizelive/dream-fusion latest
- version: 2.4.0
yaolabwashu/docker_interactive_jupyter gpu_enabled
- version: 3.1.0
malteos/oxw-dev latest
- version: 2.4.0
344833/fairseq param_siddhi
- version: 2.3.0
privacyiskey/hi latest
- version: 3.1.0
rhuan288/apiparallel latest
- version: 2.4.0
dustp/tftrt_ujin v1.0
- version: 2.4.0
manishsaraf/ogmrapidsai-gpu v1.0
- version: 3.0.0
malteos/thesis-maximilian e39cf3c852d81561516cbaff464e5382145c2b08
- version: 2.4.0
shaikaza/powerfulface latest
- version: 2.1.0
lizelive/stable-diffusion-webui latest
- version: 2.4.0
rlekeyii/strong_yolov7 latest
- version: 3.1.0
chenxingyan/my_chatglm 0.1
- version: 1.3.0
mickey9624/trt_2204_cuda_116_nvi_510_yolo7 latest
- version: 2.2.1
miccaiflare/brananas latest
- version: 2.2.1
haeillee/hi-torch-3.8 latest
- version: 2.3.0
peakji92/chatglm 6b
- version: 2.4.0
shivanshjain/nvidia-pytorch ftest-22
- version: 3.0.1
boon1987/pytorch_lung_disease v1
- version: 3.0.1
navarrepratt/tensorrt 20220117.1
- version: 2.4.0