Trending repositories for language Julia
Meta-package for data analysis in Julia, modeled after the R tidyverse.
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
Meta-package for data analysis in Julia, modeled after the R tidyverse.
Grid-based approximation of partial differential equations in Julia
Automatically update function definitions in a running Julia session
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
Fast symbolic derivatives of runtime-generated expressions
A Julia package for large-scale tensor computations, with a hint of category theory
An interface to various automatic differentiation backends in Julia.
Sequential Convex Programming Toolbox for nonconvex trajectory optimization.
Fast symbolic derivatives of runtime-generated expressions
A lightweight package for the transformer deep learning architecture in Julia
Download historical stock market data from Yahoo Finance. Exposes stock, commodity, futures, currency (FX), mutual fund, and ETF prices, stock fundamental, summary data , and options data.
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
Serde is a Julia library for (de)serializing data to/from various formats. The library offers a simple and concise API for defining custom (de)serialization behavior for user-defined types
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Julia package for formulating and analyzing stochastic recourse models.
A Julia package for large-scale tensor computations, with a hint of category theory
traits for julia: dispatch on whatever you want using where syntax
An interface to various automatic differentiation backends in Julia.
Fast symbolic derivatives of runtime-generated expressions
Fast symbolic derivatives of runtime-generated expressions
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia
Additional exercises and data for EE364a. No solutions; for public consumption.
An interface to various automatic differentiation backends in Julia.
Optimize Julia Functions With MLIR and XLA for High-Performance Execution on CPU, GPU, TPU and more.
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 ...
A Julia package for large-scale tensor computations, with a hint of category theory
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Self-contained, well-tested, well-documented Analytical Solutions of Quantum Mechanical Equations.
Optimize Julia Functions With MLIR and XLA for High-Performance Execution on CPU, GPU, TPU and more.
a Julia interface to PRIMA, a Reference Implementation for Powell's methods with Modernization and Amelioration
Quantum many body simulations in the Pauli strings representation
A plugin for Documenter.jl that enables linking between projects
TrixiParticles.jl: Particle-based multiphysics simulations in Julia
CPU/GPU parallel performance portable layer in Julia via functions as arguments
Optimisers.jl defines many standard optimisers and utilities for learning loops.
An interface to various automatic differentiation backends in Julia.
A GPU Accelerated Quadratic Programming Solver for Model-Predictive Control
Solid state detector field and charge drift simulation in Julia
Cross-architecture parallel algorithms for Julia's CPU and GPU backends. Targets multithreaded CPUs, and GPUs via Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.
An interface to various automatic differentiation backends in Julia.
Cross-architecture parallel algorithms for Julia's CPU and GPU backends. Targets multithreaded CPUs, and GPUs via Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.
Optimize Julia Functions With MLIR and XLA for High-Performance Execution on CPU, GPU, TPU and more.
Developer tooling for Julia namespace management: detecting implicit imports, improper explicit imports, and improper qualified accesses
A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst
Julia package for converting Julia calculations into rendered latex.
Julia implementation of the Kolmogorov-Arnold network with custom gradients for fast training.
Serde is a Julia library for (de)serializing data to/from various formats. The library offers a simple and concise API for defining custom (de)serialization behavior for user-defined types
A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]
A Julia implementation of choice sequence based PBT, inspired by Hypothesis
Additional exercises and data for EE364a. No solutions; for public consumption.
An interface to various automatic differentiation backends in Julia.
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
Distributed High-Performance Symbolic Regression in Julia
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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 ...
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
An interface to various automatic differentiation backends in Julia.
A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst
Julia package for converting Julia calculations into rendered latex.
Julia implementation of the Kolmogorov-Arnold network with custom gradients for fast training.
TrixiParticles.jl: Particle-based multiphysics simulations in Julia
Harnessing Julia's Rich Documentation for Tailored AI-Assisted Coding Guidance
Template for Julia Programming Language packages using the copier engine.
Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.
Streamline your life using PromptingTools.jl, the Julia package that simplifies interacting with large language models.
Monte Carlo framework that provides MPI parallelization, checkpointing and statistical postprocessing in an algorithm-agnostic way.