/

serving

deep-learning
machine-learning
optimization
python
data-science
java
distributed
parallel
automl
reinforcement-learning
ray
rllib
hyperparameter-search
hyperparameter-optimization
model-selection
docker
kubernetes
metrics
cpu
mlops
gpu
pytorch

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.

pytorch/serve
501日前3.9k

Serve, optimize and scale PyTorch models in production