GitHub / sathvikbhagavan
Total Commits: 835
SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Commits: 111
SciML/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
Commits: 94
SciML/ModelingToolkitStandardLibrary.jl
A standard library of components to model the world and beyond
Commits: 40
SciML/ModelingToolkitNeuralNets.jl
Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)
Commits: 36
SciML/DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Commits: 34
trendtrackers/trendtrackers.github.io
Commits: 25
SciML/ModelingToolkit.jl
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
Commits: 22
NeuroDiffGym/neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Commits: 18
oracle/wayflow
Commits: 16
SciML/SciMLDocs
Global documentation for the Julia SciML Scientific Machine Learning Organization
Commits: 14
sathvikbhagavan/pneumonia_detection
Commits: 12
sathvikbhagavan/mnist
Commits: 12
sathvikbhagavan/micrograd.jl
Commits: 12
blegat/modelingtoolkit.jl
Commits: 11
avinashresearch1/modelingtoolkit.jl
Commits: 11
SciML/GlobalSensitivity.jl
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Commits: 10
bgctw/modelingtoolkit.jl
Commits: 10
odegym/neurodiffeq
Commits: 9
avik-pal/diffeqflux.jl
Commits: 8
SciML/SciMLBenchmarks.jl
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Commits: 8
neurodiffgym/neurodiffeq-playground
Playground repo for solving differential equations using the neurodiffeq package
Commits: 6
JuliaDynamics/TimeseriesSurrogates.jl
A Julia package for generating timeseries surrogates
Commits: 6
sathvikbhagavan/rock_paper_scissors
Commits: 4
SciML/PDEBase.jl
Common types and interface for discretizers of ModelingToolkit PDESystems.
Commits: 4
SciML/OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Commits: 4
JuliaDiff/ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Commits: 4
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.
Commits: 4
SciML/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Commits: 4
avik-pal/scimlbenchmarks.jl
Commits: 4
avinashresearch1/scimlbenchmarks.jl
Commits: 4
baggepinnen/scimlbenchmarks.jl
Commits: 4
fgittins/scimlbenchmarks.jl
Commits: 4
SciML/DataInterpolationsND.jl
Commits: 3
JuliaSymbolics/Symbolics.jl
Commits: 3
avik-pal/symbolics.jl
Commits: 3
ts-cubed/circulatorysystemmodels.jl
Commits: 3
avinashresearch1/symbolics.jl
Commits: 3
SciML/JumpProcesses.jl
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Commits: 2
ThummeTo/FMI.jl
FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!
Commits: 2
SciML/NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Commits: 2
SciML/DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Commits: 2
avinashresearch1/optimization.jl
Commits: 2
SciML/MultiScaleArrays.jl
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Commits: 2
briochemc/chainrulescore.jl
Commits: 2
SciML/PreallocationTools.jl
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
Commits: 2
fgittins/nonlinearsolve.jl
Commits: 1
LuxDL/Lux.jl
Commits: 1
JuliaRegistries/General
Commits: 1
dmetivie/quasimontecarlo.jl
Commits: 1
adrhill/NoiseRobustDifferentiation.jl
Commits: 1
SciML/HighDimPDE.jl
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
Commits: 1
SciML/QuasiMonteCarlo.jl
Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
Commits: 1