Boundary value problem (BVP) solvers for scientific machine learning (SciML)
GitHub repository with 58 stars and 41 forks.
Language: Julia
Topics: differentialequations, differential-equations, bvp, neural-bvp, neural-ode, neural-differential-equations, gpu, sciml, scientific-machine-learning
2026-06-05: 58 stars and 41 forks.
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
GitHub repository with 320 stars and 40 forks.
Trending score: 0.05; stars gained: -1; forks gained: +0.
Language: Julia
Topics: gpu, gpu-parallelism, differentialequations, differential-equations, ode, sde
Fast and automatic structural identifiability software for ODE systems
GitHub repository with 130 stars and 22 forks.
Trending score: 0.05.
Language: Julia
Topics: structural-identifiability, julia, differentialequations, parameter-estimation
Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)
GitHub repository with 122 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
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
🌎 A framework for simulating the Earth system at all scales with prescribed or prognostic atmosphere, ocean, sea ice and land components
GitHub repository with 36 stars and 9 forks.
Trending score: 0.33; stars gained: +1; forks gained: +1.
Language: Julia
A highly adaptable modelling framework for multi-energy systems
GitHub repository with 79 stars and 22 forks.
Trending score: 0.29; stars gained: +0; forks gained: +0.
Language: Julia
Topics: energy, modelling-framework, julia-language, electricity, energy-system-modelling, energy-systems
A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.
GitHub repository with 671 stars and 142 forks.
Trending score: 0.27; stars gained: +0; forks gained: +0.
Language: Julia
Topics: tensors, tensor-decomposition, tensor-networks, dmrg, matrix-product-states, physics
Elegant and Performant Deep Learning
GitHub repository with 706 stars and 84 forks.
Trending score: 0.26; stars gained: +0; forks gained: +0.
Language: Julia
Topics: deep-learning, machine-learning, neural-networks, gpu, scientific-machine-learning, tpu
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
GitHub repository with 320 stars and 40 forks.
Trending score: 0.05; stars gained: -1; forks gained: +0.
Language: Julia
Topics: gpu, gpu-parallelism, differentialequations, differential-equations, ode, sde
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
GitHub repository with 344 stars and 111 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: MATLAB
Topics: ai, ai-for-science, benchmark, dae, differential-equations, differentialequations
Fast and automatic structural identifiability software for ODE systems
GitHub repository with 130 stars and 22 forks.
Trending score: 0.05.
Language: Julia
Topics: structural-identifiability, julia, differentialequations, parameter-estimation