EarthyScience/EasyHybrid.jl

EasyHybrid.jl provides a simple and flexible framework for hybrid modeling, enabling the integration of neural networks with process-based models.

GitHub repository with 21 stars and 6 forks.

Language: Julia

Topics: automatic-differentiation, data-driven, hybrid-modeling, machine-learning, mechanistic-models, neural-networks, parameter-learning, process-based-modelling

Open provider repository

Latest metric snapshot

2026-06-05: 21 stars and 6 forks.

Similar repositories

  1. 1. SciML/Optimization.jl

    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.

    GitHub repository with 825 stars and 100 forks.

    Trending score: 0.14; stars gained: +0; forks gained: +1.

    Language: Julia

    Topics: optimization, local-optimization, global-optimization, automatic-differentiation, algorithmic-differentiation, sciml

  2. 2. SciML/ADTypes.jl

    Repository for automatic differentiation backend types

    GitHub repository with 65 stars and 17 forks.

    Trending score: 0.05; stars gained: +0; forks gained: +0.

    Language: Julia

    Topics: autodiff, automatic-differentiation, julia

Trending in Julia

  1. 1. JuliaLang/julia

    The Julia Programming Language

    GitHub repository with 48,745 stars and 5,783 forks.

    Trending score: 1.16; stars gained: +15; forks gained: +0.

    Language: Julia

    Topics: julia-language, julia, scientific, hpc, numerical, machine-learning

  2. 2. JuliaHEP/UnROOT.jl

    Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)

    GitHub repository with 121 stars and 20 forks.

    Trending score: 0.87; stars gained: +4; forks gained: +0.

    Language: Julia

    Topics: cern-root, julia, particle-physics, hep, high-energy-physics, hacktober

  3. 3. ark-ecs/Ark.jl

    Archetype-based Entity Component System (ECS) for Julia

    GitHub repository with 77 stars and 6 forks.

    Trending score: 0.59; stars gained: +2; forks gained: +0.

    Language: Julia

    Topics: ecs, entity-component-system, julia, agent-based-modeling, individual-based-modelling, simulation

  4. 4. aviatesk/JETLS.jl

    A new language server for Julia, enabling modern, compiler-powered tooling.

    GitHub repository with 286 stars and 20 forks.

    Trending score: 0.49; stars gained: +1; forks gained: +0.

    Language: Julia

    Topics: jet, julia, language-server, static-analysis, vscode-extension

  5. 5. timholy/claude_config

    Configuration files for claude code

    GitHub repository with 34 stars and 9 forks.

    Trending score: 0.49; stars gained: +2; forks gained: +1.

    Language: Julia

  6. 6. JuliaGPU/Metal.jl

    Metal programming in Julia

    GitHub repository with 451 stars and 62 forks.

    Trending score: 0.46; stars gained: +1; forks gained: +1.

    Language: Julia

    Topics: julia, gpu, mac, metal-framework, apple-gpu, apple-silicon

Trending topic: automatic-differentiation

  1. 1. PennyLaneAI/pennylane

    PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

    GitHub repository with 3,247 stars and 808 forks.

    Trending score: 0.60; stars gained: +3; forks gained: +14.

    Language: Python

    Topics: autograd, automatic-differentiation, cirq, deep-learning, differentiable-computing, jax

  2. 2. PennyLaneAI/demos

    Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

    GitHub repository with 665 stars and 238 forks.

    Trending score: 0.22; stars gained: +0; forks gained: +1.

    Language: Python

    Topics: quantum-machine-learning, qml, demo, tutorials, key-concepts, quantum-computing

  3. 3. SciML/Optimization.jl

    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.

    GitHub repository with 825 stars and 100 forks.

    Trending score: 0.14; stars gained: +0; forks gained: +1.

    Language: Julia

    Topics: optimization, local-optimization, global-optimization, automatic-differentiation, algorithmic-differentiation, sciml

  4. 4. Dicklesworthstone/frankenjax

    Clean-room Rust reimplementation of JAX transform semantics (jit, grad, vmap) with canonical JAXPR-like IR, Trace Transform Ledger, deterministic cache keys, and differential conformance harness

    GitHub repository with 8 stars and 2 forks.

    Trending score: 0.05; stars gained: +0; forks gained: +0.

    Language: Rust

    Topics: automatic-differentiation, clean-room, compiler, differential-testing, intermediate-representation, jax

  5. 5. SciML/ADTypes.jl

    Repository for automatic differentiation backend types

    GitHub repository with 65 stars and 17 forks.

    Trending score: 0.05; stars gained: +0; forks gained: +0.

    Language: Julia

    Topics: autodiff, automatic-differentiation, julia