🦜🔗 Build context-aware reasoning applications

Pytorch Lightning Distributed Accelerators using Ray

LightGBM on Ray

Distributed XGBoost on Ray

☄️ Parallel and distributed training with spaCy and Ray

Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ARIMA modelling for Rust

Reinforcement learning benchmarking.

rlgraph metagraph plotting utility

RLgraph: Modular computation graphs for deep reinforcement learning

TensorForce-Client: Running Parallelized Reinforcement Learning Experiments in the Cloud

C++ library for audio and music analysis, description and synthesis, including Python bindings

Tensorforce: a TensorFlow library for applied reinforcement learning