Search Results for "learning"
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Showing 11 open source projects for "learning"
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PureScript
A strongly-typed language that compiles to JavaScript
...An extensive collection of libraries for development of web applications, web servers, apps and more. Excellent tooling and editor support with instant rebuilds. An active community with many learning resources. Build real-world applications using functional techniques and expressive types, such as: Algebraic data types and pattern matching. Row polymorphism and extensible records. Higher kinded types and type classes with functional dependencies, as well as higher-rank polymorphism. Precompiled binaries are available for OSX, Linux, and Windows. ... -
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Servant
Haskell DSL for describing, serving, querying, mocking web apps
...From a single API specification, developers can derive server implementations, client libraries, documentation, and more—ensuring consistency and type safety across the stack. We have a tutorial that introduces the core features of servant. After this article, you should be able to write your first server web services, learning the rest from the haddocks' examples. The core documentation can be found here. Other blog posts, videos, and slides can be found on the website. The core documentation can be found here. Other blog posts, videos and slides can be found on the website. -
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Hasktorch
Tensors and neural networks in Haskell
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.... -
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The HaskellR project
The full power of R in Haskell
...HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed. 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. -
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haskell-trainings
Haskell 101 and 102: slides and codelabs
...It covers a wide range of topics from beginner to advanced, including functional programming principles, monads, type classes, concurrency, and performance. The repository is designed to support self-paced learning or instructor-led training and reflects Google's internal education efforts to promote functional programming skills. -
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Scotty
Haskell web framework inspired by Ruby's Sinatra, using WAI and Warp
...Scotty is built on top of the WAI (Web Application Interface) and Warp server, making it fast and scalable. It emphasizes simplicity and ease of use, making it ideal for small- to medium-sized services or for developers learning web programming in Haskell. -
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TensorFlow Haskell
Haskell bindings for TensorFlow
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. ... -
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IHaskell
A Haskell kernel for the Jupyter project
...More example notebooks are available on the wiki. The wiki also has more extensive documentation of IHaskell features. IHaskell is based upon the IPython architecture and frontend, so learning about that will help. You can write your own extensions using the IPython javascript API, for instance. Use h to learn more about the modal interface IHaskell/IPython provides. IHaskell adds a few features on top of the IPython frontends, such as automatic character concealing (typing -> yields an arrow) and input cell folding (via the left and right arrow keys, or the buttons). ... -
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HLearn
Homomorphic machine learning
HLearn is a Haskell-based machine learning library focused on composability, algebraic structure, and performance. It provides a functional approach to building machine learning algorithms by leveraging algebraic properties such as monoids and groups. This allows for parallel, incremental, and distributed computation in a mathematically consistent way. HLearn aims to provide implementations of common algorithms like k-means, naive Bayes, and others while maintaining the expressiveness and safety of the Haskell language. -
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Functional-Programming
Functional Programming concepts, examples and patterns
This repository is a tutorial collection showcasing functional programming concepts across multiple languages (Haskell, OCaml, Scala, Scheme, Clojure, Python). It provides reusable code snippets, examples, and case studies to illustrate FP ideas in a comparative manner. The purpose of this tutorial is to illustrate functional programming concepts in many languages by providing reusable and useful snippets of code, examples, case studies and applications. The project’s web site was updated... -
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Procreator is a framework for genetic programming written in Haskell. Procreator generates fully typed programs. This will allow for more effective crossover and for better compilation of the generated programs.
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