Search Results for "docker-ce"

A smarter Dockerfile linter that helps you build best practice Docker images. The linter parses the Dockerfile into an AST and performs rules on top of the AST. It stands on the shoulders of ShellCheck to lint the Bash code inside RUN instructions. You can run hadolint locally to lint your Dockerfile. You can download prebuilt binaries for OSX, Windows and Linux from the latest release page. However, if this does not work for you, please fall back to container (Docker), brew or source installation. ...

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....

...Nix can populate a local build environment including all necessary system dependencies without touching your global filesystem. Use it as a cross-platform alternative to Docker.

A Kubernetes-based tool for creating local clusters, ideal for testing and CI/CD.

The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies via Homebrew and then downloads and installs the TensorFlow library on your machine under /usr/local. The stack.yaml file describes a NixOS environment containing the necessary dependencies.

...Spock provides fast route dispatching in a type-safe environment. Built-in support for cookies, secure sessions and CSRF protection. Applications supported by Spock are easily deployed using stack, or Docker. Spock and all ecosystem packages are open sourced on Github. Feel free to review code or contribute.