Symbolic Learning in Python and Julia
The Julia Programming Language
Functional programming language for signal processing and sound synthesis
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Julia bindings for the Enzyme automatic differentiator
Next generation modding platform for Final Fantasy VII (Steam 2013, Steam 2026 Rerelease, GOG, Windows Store) and Final Fantasy VIII (Steam 2013/Remastered)
The official registry of general Julia packages
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
📚 Parameterize, execute, and analyze notebooks
🎈 Simple reactive notebooks for Julia
A simple, semantic and developer-friendly time package for golang
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Julia kernel for Jupyter
Interactive data visualizations and plotting in Julia
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
🧞The highly productive Julia web framework
Bayesian inference with probabilistic programming.
Powerful convenience for Julia visualizations and data analysis
A Julia machine learning framework
In-memory tabular data in Julia
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An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
21st century AD
Compile your Julia Package
Unicode-based scientific plotting for working in the terminal
Symbolic programming for the next generation of numerical software
Package to call Python functions from the Julia language
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
CUDA programming in Julia.
Automatically update function definitions in a running Julia session
Julia extension for Visual Studio Code
Transpiler of Python to many other languages
Julia installer and version manager
a clean C library for processing UTF-8 Unicode data
A Flutter plugin for securely storing sensitive data using encrypted storage.
Optimization functions for Julia
A Julia package for probability distributions and associated functions.
A universal Flutter barcode and QR code scanner using CameraX/ML Kit for Android, AVFoundation/Apple Vision for iOS & macOS, and ZXing for web.
Python and Julia in harmony.
Forward Mode Automatic Differentiation for Julia
A Collaborative Recipe Keeper, Meal Planner, and Shopping List Organizer in PWA form.
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
The perfect sidekick to your scientific inquiries
A documentation generator for Julia.
Agent-based modeling framework in Julia
⚡ Single-pass algorithms for statistics
Grid-based approximation of partial differential equations in Julia
A code analyzer for Julia. No need for additional type annotations.
Fast and simple fluid simulator in Julia
Statically sized arrays for Julia
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 interface.
Distributed High-Performance Symbolic Regression in Julia
Macro(s) for vectorizing loops.
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
PypelineC: A hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
A repo which compares the speed of different programming languages.
Julia implementation of Data structures
Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia