Search Results for "machine learning python"
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Showing 3 open source projects for "machine learning python"
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Scalable restaurant tech for stellar guest experiencesHungerRush helps restaurants compete in the toughest business on earth. We offer a fully integrated restaurant management system that’s easy to use and can be configured to engage your guests better, streamline your operations, master your own marketing, or all of the above. Want to offer online ordering? It’s built in. Want to get the latest performance data on your operations and marketing? No problem. Want to make customers for life by creating personalized experiences you know they’ll love? Order up. And since our system is backed by a dedicated and US-based support team, you’ll always be ready for the rush.
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Tool Tracking Made SimpleShareMyToolbox is a tool tracking solution that enables companies to track individuals who are responsible for tools and small equipment. Mobile users are able to search the company tool inventory, request tools and accept tool assignments with Apple or Android devices such as phones or tablets. Built for contractors, the system was designed to be extremely easy to use.
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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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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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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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