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GitHub / mlcommons / ck-mlops

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlcommons%2Fck-mlops

Stars: 18
Forks: 8
Open Issues: 1

License: apache-2.0
Language: Python
Repo Size: 46.3 MB
Dependencies: 50

Created: over 3 years ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: about 1 month ago

Topics: artificial-intelligence, automation, co-design, machine-learning, mlops, open-science, optimization, portability, reproducibility, reusability, systems, workflows

Files

Readme

Dependencies

program/ml-task-image-classification-tvm-onnx-cpu/requirements.txt pypi

attrs >=19,<20
decorator >=4.4,<4.5

program/mlperf-inference-bench-image-classification-pytorch-onnx-cpu/requirements.txt pypi

program/mlperf-inference-bench-image-classification-pytorch-onnx-gpu/requirements.txt pypi

program/mlperf-inference-bench-image-classification-tvm-onnx-cpu/requirements.txt pypi

attrs >=19,<20
decorator >=4.4,<4.5
pytest *

program/mlperf-inference-bench-image-classification-tvm-onnx-gpu/requirements.txt pypi

attrs >=19,<20
decorator >=4.4,<4.5
pytest *

program/mlperf-inference-bench-image-classification-tvm-pytorch-cpu/requirements.txt pypi

attrs >=19,<20
decorator >=4.4,<4.5
pytest *

program/mlperf-inference-bench-image-classification-tvm-tflite-cpu/requirements.txt pypi

attrs >=19,<20
decorator >=4.4,<4.5
pytest *

program/mlperf-inference-bench-medical-imaging-onnx-cpu/requirements.txt pypi

SimpleITK *
batchgenerators >=0.20.0,<0.23
medpy *
tqdm *

program/mlperf-inference-bench-medical-imaging-pytorch-cpu/requirements.txt pypi

SimpleITK *
batchgenerators >=0.20.0,<0.23
medpy *
tqdm *

program/mlperf-inference-bench-object-detection-tvm-onnx-cpu/requirements.txt pypi

attrs >=19,<20
decorator >=4.4,<4.5
pytest *

program/mlperf-inference-bench-object-detection-tvm-onnx-gpu/requirements.txt pypi

attrs >=19,<20
decorator >=4.4,<4.5
pytest *

program/mlperf-inference-bench-recommendation-onnx-cpu/requirements.txt pypi

program/mlperf-inference-bench-recommendation-pytorch-cpu/requirements.txt pypi

requirements.txt pypi

ck >=2.5.8
virtualenv *

script/aux-image-classification/sources-mxnet/source/requirements.gpu-cu80.txt pypi

mxnet-cu80 ==0.11.0
numba *
numpy *
opencv-python *

script/aux-image-classification/sources-tf/source/requirements.gpu-cu80.txt pypi

numba *
six *
tensorflow-gpu ==1.3.0