A frontend to Assets purchased on Epic Games Store

⭕ Share quick reference cheat sheet for developers.

Julia installer and version multiplexer

Mitsuba 3: A Retargetable Forward and Inverse Renderer

Elegant and Performant Scientific Machine Learning in Julia

Builds conductance based neural networks iteratively, from ion channels and synapses

Finds relationships between the parameters of a mathematical model

View disk space usage and delete unwanted data, fast.

Julia library for stylized terminal output

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any p…

A live viewer for reMarkable written in PyQt5

Easy c̵̰͠r̵̛̠ö̴̪s̶̩̒s̵̭̀-t̶̲͝h̶̯̚r̵̺͐e̷̖̽ḁ̴̍d̶̖̔ ȓ̵͙ė̶͎ḟ̴͙e̸̖͛r̶̖͗ë̶̱́ṉ̵̒ĉ̷̥e̷͚̍ s̷̹͌h̷̲̉a̵̭͋r̷̫̊ḭ̵̊n̷̬͂g̵̦̃ f̶̻̊ơ̵̜ṟ̸̈́ R̵̞̋ù̵̺s̷̖̅ţ̸͗!̸̼͋

Pure Julia implementation of a terminal pager

Julia library to access Raspberry Pi peripherals without requiring external libraries.

Pretty print numbers in Julia.

Multivariate kernel density estimation

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…

An opinioned pretty printing package for Julia objects.

Flatten nested Julia objects to tuples, and reconstruct them later

A unified interface for sequential, threaded, and distributed fold

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Fakewake is a software and hardware project that allows network remote control of a PC's power and reset buttons. Wake-on-LAN allows remote start of a PC but has its limitations and does not provid…

What if your code allocated less? Remember what memory we needed last time and use it again every time after

An optimized graphs package for the Julia programming language

Graph Neural Networks in Julia

Type stable array slicing

Easily and efficiently memoize any function, closure, or callable object in Julia.

📨 An open letter to GitHub from the maintainers of open source projects