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A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Created
2019-11-19
66 commits to master branch, last one 11 months ago
Parallel Hyperparameter Tuning in Python
keras-examples
neural-network
neural-networks
machine-learning
scipy-compatible
production-system
tuning-parameters
cluster-deployment
gaussian-processes
parallel-computing
pytorch-compatible
sklearn-compatible
tensorflow-examples
bayesian-optimization
blackbox-optimization
hyperparameter-tuning
kubernetes-deployment
hyperparameter-optimization
Created
2019-10-18
281 commits to main branch, last one about a month ago