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hyperparameter-optimization

python
data-science
machine-learning
automl
deep-learning
hyperparameter-search
model-selection
automated-machine-learning
scikit-learn
java
optimization
distributed
parallel
reinforcement-learning
ray
rllib
serving
mxnet
gaussian-processes
recommender-system
tensorflow
book
notebook
kaggle
computer-vision
pytorch
keras
natural-language-processing
feature-engineering
gradient-boosting
random-forest
parameter-tuning

ray-project/ray
503日前29.9k

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

d2l-ai/d2l-en
502日前20.9k

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.