JuliaGraphs / GraphNeuralNetworks.jl
Graph Neural Networks in Julia
☆227Updated this week
Related projects ⓘ
Alternatives and complementary repositories for GraphNeuralNetworks.jl
- Elegant and Performant Scientific Machine Learning in Julia☆507Updated this week
- Complex neural network examples for Flux.jl☆125Updated 11 months ago
- A style guide for stylish Julia developers☆216Updated this week
- Geometric Deep Learning for Flux☆349Updated last year
- Julia bindings for the Enzyme automatic differentiator☆456Updated this week
- An interface to various automatic differentiation backends in Julia.☆195Updated this week
- Simple chains☆234Updated 2 weeks ago
- High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity …☆239Updated this week
- Julia package for kernel functions for machine learning☆267Updated this week
- No-overhead breakpoints in Julia☆413Updated last month
- An optimized graphs package for the Julia programming language☆465Updated last week
- Utilities and abstractions for Machine Learning tasks☆110Updated 4 months ago
- AllocCheck☆223Updated last month
- The ultimate guide to distributed computing in Julia☆151Updated 3 months ago
- Hyperparameter optimization in Julia.☆200Updated last year
- An intuitive modeling interface for infinite-dimensional optimization problems.☆255Updated 3 weeks ago
- Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox☆144Updated this week
- High-performance metaheuristics for optimization coded purely in Julia.☆256Updated 5 months ago
- Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™☆308Updated this week
- Implementation of normalising flows and constrained random variable transformations☆206Updated this week
- Julia Programming for Machine Learning course at TU Berlin☆240Updated this week
- Blog posts on best practices for Julia development☆186Updated 2 months ago
- Next-generation AD☆435Updated this week
- Neural Network primitives with multiple backends☆204Updated this week
- AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for…☆258Updated 2 months ago
- The Julia compiler frontend☆274Updated last month
- Parallelized Base functions☆321Updated last week
- LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, a…☆247Updated this week
- A Julia clone of https://pypi.python.org/pypi/tqdm☆106Updated last month
- A common interface for quadrature and numerical integration for the SciML scientific machine learning organization☆226Updated this week