A Julia interface for training and applying models in machine learning and statistics

Extra tools for setting up Documenter

Numerical methods for nonsmooth dynamics

OpenMDAO repository.

A library of data interpolation and smoothing functions

GitHub’s official command line tool

Simple curve fitting in Julia

An energy system optimization model that is flexible, computationally efficient, and academically robust.

A Julia interface to the HiGHS solver

language level autograd compiler for Julia

Parse yer YAMLs

"whenever I type this in the REPL, run that for me"

Library for the numerical simulation of closed as well as open quantum systems.

Example Julia package repo.

Rigorous global optimisation in pure Julia

The fundamental package for scientific computing with Python.

Deep Learning for humans

Tensors and Dynamic neural networks in Python with strong GPU acceleration

An Open Source Machine Learning Framework for Everyone

Coloring algorithms for sparse Jacobian and Hessian matrices

A Ruby library for manipulating CITATION.cff files.

Command line program to validate and convert CITATION.cff files.

Julia package for simulating Dynamics on Networks

Optimal control problems for Julia

An interface to various automatic differentiation backends in Julia.

Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .

An open source model predictive control package for Julia.

An efficient backend for InfiniteOpt that accelerates NLPs on CPU and GPU.

An algebraic modeling and automatic differentiation tool in Julia Language, specialized for SIMD abstraction of nonlinear programs.