Package Usage : pypi : platform_machine
Explore the latest package usage data for platform_machine in the pypi ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 1,153
Total downloads: 1,130,344,931
More details on packages.ecosyste.ms - JSON
datasense/datasense ab9c0b165911027efbf61e52b46d8b50
- version: aarch64
tensorflow/tensorflow 2.18.0
Official Docker images for the machine learning framework TensorFlow (http://www.tensorflow.org)
- version: aarch64
jupyter/tensorflow-notebook x86_64-tensorflow-2.14.0
Scientific Jupyter Notebook Python Stack w/ TensorFlow from https://github.com/jupyter/docker-stacks
- version: aarch64
rasa/rasa 3.6.21
- version: aarch64
anyscale/ray-ml 2.38.0
- version: aarch64
google/deepvariant 1.8.0
- version: aarch64
tensorflow/tfx 1.16.0
- version: aarch64
apache/beam_python3.8_sdk 2.60.0
Apache Beam SDK - Python 3.8
- version: aarch64
apache/beam_python3.9_sdk 2.59.0
- version: aarch64
huggingface/transformers-doc-builder latest
- version: aarch64
mirekphd/ml-cpu-py38-jup-cust 20230623
- version: aarch64
mirekphd/ml-cpu-py37-jup-cust 20230107
- version: aarch64
9840144/exorde latest
- version: aarch64
huggingface/transformers-tensorflow-gpu 4.41.3
- version: aarch64
mirekphd/ml-gpu-py38-cuda112-cust 20230623
- version: aarch64
huggingface/transformers-all-latest-gpu latest
- version: aarch64
njaved/tf_peaks_processing latest
tf_peaks_processing
- version: aarch64
ultralytics/ultralytics 8.3.5
Ultralytics YOLOv8 Docker Images
- version: aarch64
afcai2c/jlab-dl 20230120il5
Jupyter Lab with Deep Learning AI/ML packages installed [build upon jlab-eda]
- version: aarch64
google/deepconsensus 1.2.0
- version: aarch64
bitsyai/printnanny-webapp sha-44cb5ad8b5ebdfbf80b2602491957366d1608abd
- version: aarch64
ryankford/sdg-classifier 1.0-backend
- version: aarch64
huggingface/transformers-all-latest-gpu-push-ci latest
- version: aarch64
apache/beam_python3.10_sdk 2.64.0
- version: aarch64
huggingface/datasets-server-workers-datasets_based sha-67c2eee
- version: aarch64
bitnami/tensorflow-intel 2.11.0-debian-11-r8
- version: aarch64
oawofolu/scdf-ml-model 1.9.7
- version: aarch64
oawofolu/image-processor-default b1.20240815.175531
- version: aarch64
oawofolu/streamlit latest
- version: aarch64
vikramreddy0307/image_search_cicd latest
- version: aarch64
secretflow/secretflow-anolis8 1.11.0b1
anolis 8 based image with secretflow installed
- version: aarch64
huggingface/datasets-server-workers-first_rows sha-f7127d0
- version: aarch64
vnmd/qsmxt_1.1.13 latest
- version: aarch64
huggingface/datasets-server-workers-splits sha-18f56cb
- version: aarch64
unidata/unidatahub 2024Feb28_210523_a522
- version: aarch64
oawofolu/datahub-tap-default b1.20240524.140109
- version: aarch64
alexxi19/simple-python-with-jupyter latest
- version: aarch64
nasanccs/tensorflow-caney latest
- version: aarch64
pkufjhdocker/rid-tf-cpu stable
- version: aarch64
huggingface/transformers-all-latest-torch-nightly-gpu latest
- version: aarch64
mk1990hpi/simba_ml_env latest
- version: aarch64
madiator2011/kohya_ss vnc
webui
- version: aarch64
mirekphd/ml-cpu-py39-jup-cust 20231009
- version: aarch64
kazumayamamoto/dsc180a-q1-project latest
- version: aarch64
openimage/jupyter gpu
- version: aarch64
oawofolu/ml-image-processor latest
- version: aarch64
truecharts/jupyter-tensorflow build20230428111219
- version: aarch64
pkufjhdocker/rid-gmx-tf stable
- version: aarch64
pkufjhdocker/rid-tf-gpu stable
- version: aarch64
zackdan/project5-team5-deploy 2
Software Engineering
- version: aarch64
cremarco/mantis-jupyter latest
- version: aarch64
vetch/sample-ml latest
- version: aarch64
inseefrlab/onyxia-python-tensorflow py3.12.9-gpu-2025.05.26
- version: aarch64
ljocha/asmsa sitsem2022
- version: aarch64
adsoft/ai-ops latest
- version: aarch64
carlosdias/ap-projeto latest
- version: aarch64
inseefrlab/onyxia-vscode-tensorflow py3.12.9-2025.04.14
- version: aarch64
inseefrlab/onyxia-jupyter-tensorflow py3.12.7-2025.02.10
- version: aarch64
evolbioinfo/phylodeep v0.3.1
Parameter estimation and model selection from phylogenetic trees, based on deep learning.
- version: aarch64
rogeriomantoanelli/fd_process_queue_api latest
- version: aarch64
henff30/test v8
- version: aarch64
owingit/nst-worker v29
- version: aarch64
vnmd/qsmxt_1.3.5 latest
- version: aarch64
huggingface/transformers-all-latest-gpu-test latest
- version: aarch64