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Boltzmann Machines in TensorFlow with examples
Created
2017-10-23
773 commits to master branch, last one 3 years 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 3 months ago
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Created
2020-06-29
284 commits to master branch, last one 2 years ago
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
Created
2021-12-04
210 commits to main branch, last one about a month ago