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May 18, 2022 - Python
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ml-platform
Here are 13 public repositories matching this topic...
data-science
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reinforcement-learning
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keras
collaboration
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ml-platform
The Unified Model Serving Framework 🍱
kubernetes
machine-learning
ai
aws-lambda
tensorflow
ml
model-management
model-deployment
model-serving
ml-infrastructure
azure-ml
mlops
aws-sagemaker
machine-learning-operations
bentoml
ml-platform
bentoml-format
prediction-service
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May 18, 2022 - Python
Determined: Deep Learning Training Platform
kubernetes
data-science
machine-learning
deep-learning
tensorflow
pytorch
hyperparameter-optimization
hyperparameter-tuning
hyperparameter-search
distributed-training
ml-infrastructure
mlops
ml-platform
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May 18, 2022 - Python
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Mar 30, 2022 - TypeScript
good first issue
Good for newcomers
coder46
commented
Feb 7, 2021
Currently you can only do training when you've committed and pushed all new changes in your branch. This introduces a blocker when a Data Scientist is trying out lots of different changes in their code.
Allow for training even with uncommitted changes. This can be done by taking a git diff of the current branch, storing it and then doing an git apply to the current branch during training
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
python
workflow
machine-learning
ai
deep-learning
pipeline
deploy
image-processing
ml
dicom
pytorch
healthcare
medical-imaging
model-deployment
model-serving
ml-infrastructure
mlops
ml-platform
monai
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May 15, 2022 - Jupyter Notebook
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
python
machine-learning
ai
deep-learning
inference
dicom
pytorch
healthcare
medical-imaging
fhir
guidelines
radiology
pathology
open-standard
mlops
ml-platform
monai
ai-application-development
ai-application-deployment
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May 5, 2022
A SageMaker-based ML system solution
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Apr 15, 2022 - Jupyter Notebook
Open-Source Machine Learning Platform
aws
machine-learning
machine-learning-platform
sagemaker
aws-sagemaker
continuous-training
ml-platform
cd4ml
open-source-ml-platform
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Feb 27, 2022 - Go
Model versioning using Weight&Biases with Python.
data-science
machine-learning
deep-learning
model
model-validation
model-deployment
model-versioning
mlops
experiment-tracking
ml-platform
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Feb 10, 2022 - Python
python
docker
machine-learning
dashboard
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jupyter-notebook
prometheus
caddy
anomaly-detection
real-time-monitoring
mlops
real-time-machine-learning
fastapi
ml-engineering
ml-platform
ml-deployment
ml-monitoring
koushikvikram
koushik-vikram
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Nov 24, 2021 - Jupyter Notebook
Arup Dutta - Portfolio
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Aug 26, 2020
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While reading the code I found the following (minor) issue.
The aiohttp docs states: app.make_handler() is deprecated and will be removed in future aiohttp versions. Please use Application runners ins