Rust machine learning library
A simple machine learning library written in Rust, for supervised, unsupervised and reinforcement learning.
rust-ml
(--release
recommended)CPU based neural network library implemented using ndarray.
It won't outperform Tensorflow but it should still be very fast. Especially when compiled in --release
mode!
Reinforcement learning library containing Agents, Learners and Environments.
A Learner teaches an Agent to master an Environment. All agents, learners and environments are designed to be easily swappable. For example a QAgent can interact with a Jump environment and learn using a QLearner, and that same agent can interact with a Bird environment and learn using a NeuroEvolutionLearner.