Search Results for "docker-compose"

Hasktorch is a powerful Haskell library for tensor computation and neural network modeling, built on top of libtorch (the backend of PyTorch). It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions....

...The language explores disciplined handling of side effects, aiming to separate pure transformations from operations that perform I/O or mutate state. Its design encourages small, reusable building blocks that compose cleanly, while still permitting low-level control where performance matters. The implementation targets efficient compiled code and investigates how advanced type systems can improve reliability in a stack-based language. As a research project, Kitten serves both as a language to experiment with and as a vehicle for ideas about safety and structure in concatenative programming.

Polysemy is a high-performance, zero-boilerplate effect system for Haskell, designed to simplify the handling of side effects in functional programs. Unlike traditional monad transformer stacks, Polysemy uses a modern approach based on freer monads and interpreters, allowing developers to define, compose, and interpret effects in a more modular and testable way. It aims to offer both flexibility and performance without sacrificing type safety or expressiveness.