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Darwin Neuroevolution Framework
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| Nann | Artificial Neural Networks (ANN) building blocks |
| Ncgp | Cartesian Genetic Programming (CGP) |
| ▼Ncne | Conventional Neuroevolution (CNE) populations |
| Nfeedforward | Feedforward ANN |
| Nfull_rnn | Recurent ANN (full layer recurrence) |
| Nlstm | LSTM ANN |
| Nlstm_lite | A drastically simplified LSTM variation |
| Nrnn | Recurent ANN (local node recurrence only) |
| Ncore | Generic utilities |
| Ncore_ui | Reusable components for building UIs |
| ▼Ndarwin | Key Darwin Neuroevolution Framework interfaces |
| Npython | Python bindings |
| Ndb | Low level database utilities |
| Nmath | Numerical types and helpers |
| Nneat | NeuroEvolution of Augmenting Topologies (NEAT) |
| Npal | Platform Abstraction Layer |
| Npp | Parallel Processing primitives |
| Nregistry | Support for registering populations and domains |
| Nregistry_ui | Support for registering domain UIs |
| Ntest_population | A dummy population implementation, used for testing and/or as a baseline |
| Ntournament | Reusable tournament implementations |
1.8.14