The Julia Programming Language
- julia-language
- julia
- scientific
- hpc
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The Julia Programming Language
The Modular Platform (includes MAX & Mojo)
Convert Machine Learning Code Between Frameworks
Open Machine Learning Compiler Framework
OpenCV wrapper for .NET
Brings SQL and AI together.
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn.
R interface for Apache Spark
Deep learning for Ruby, powered by LibTorch
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
OCaml bindings for PyTorch
Ruby language bindings for LIBSVM
[wip] Deep Learning Compiler based on Polyhedral Compiler, Light-weight IRs, and Optimizing Pattern Matcher. (development is on hold)
Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets)
Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
High performance gradient boosting for Ruby
🔍 A step-by-step guide to parsing using Haskell parser combinators.
A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.
Learn Lisp efficiently and become a happy programmer.
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Python bindings for the Coq interactive proof assistant
The Waterproof plugin for the Rocq proof assistant allows you to write Rocq proofs in a style that resembles handwritten mathematical proofs, designed to help university students with learning how to prove mathematical statements.
Exercism Meets Neovim 💪🧠