
implementation("org.pointyware.disco:core-interactors:0.2.2-alpha")Facilitates machine learning development with primitives like tensors, activation functions, layers, networks, loss functions, and optimizers. Supports training via sequential and auto-differentiation methods. Includes experimental features like GELU, Swish, SwiGLU activations, LayerNorm, and Organic Trainer. Structured using Clean Architecture principles.
| Version | Release | Platforms and targets |
|---|---|---|
| 0.2.2-alpha | Release: 11 Aug 2025 | Android JVMJVMKotlin/Native iOS |
| 0.2.1-alpha | Release: 10 Aug 2025 | Android JVMJVMKotlin/Native iOS |
| Version | Release | Platforms and targets |
|---|---|---|
| 0.2.2-alpha | Release: 11 Aug 2025 | Android JVMJVMKotlin/Native iOS |
| 0.2.1-alpha | Release: 10 Aug 2025 | Android JVMJVMKotlin/Native iOS |