Pinned Repositories
DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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)
bin
ESO208A
List of all assignments for ESO208A course in Fall 2018-19 .
FlipkartGRiDWoZ
Noise Detection and Cancellation - Solving for Voice Interactions in Indian Houses & Neighborhoods
GPUODEBenchmarks
Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers
MixedPrecisionDiffEq.jl
Mixed Precision ODE solvers in Julia
ParallelExBenchmarks.jl
Benchmarking native Julia parallel extrapolation methods
utkarsh530_old
utkarsh530's Repositories
utkarsh530/GPUODEBenchmarks
Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers
utkarsh530/bin
utkarsh530/MixedPrecisionDiffEq.jl
Mixed Precision ODE solvers in Julia
utkarsh530/FlipkartGRiDWoZ
Noise Detection and Cancellation - Solving for Voice Interactions in Indian Houses & Neighborhoods
utkarsh530/ParallelExBenchmarks.jl
Benchmarking native Julia parallel extrapolation methods
utkarsh530/utkarsh530_old
utkarsh530/672_Opt_Methods_Project
utkarsh530/AMDGPU.jl
AMD GPU (ROCm) programming in Julia
utkarsh530/AMF.jl
utkarsh530/DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl
utkarsh530/GitHubGraduation-2022
Join the GitHub Graduation Yearbook and "walk the stage" on June 11.
utkarsh530/julialabs.github.io
JuliaLab Website
utkarsh530/KernelAbstractions.jl
Heterogeneous programming in Julia
utkarsh530/LinearSolve.jl
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
utkarsh530/Lorenz-WebAssembly-Model.jl
Lorenz attraction app in Julia compiled to WebAssembly
utkarsh530/Lux.jl
Explicitly Parameterized Neural Networks in Julia
utkarsh530/Microsoft-Activation-Scripts
A collection of scripts for activating Microsoft products using HWID / KMS38 / Online KMS activation methods with a focus on open-source code, less antivirus detection and user-friendliness.
utkarsh530/ModelingToolkit.jl
A 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
utkarsh530/MP_PDE_Solver_Julia
Message Passing Neural PDE Solvers in Julia
utkarsh530/NonlinearSolve.jl
utkarsh530/OrdinaryDiffEq.jl
DiffEq solvers for ordinary differential equations
utkarsh530/ResearchRegistry
utkarsh530/sciml.ai
The SciML Scientific Machine Learning Software Organization Website
utkarsh530/SciMLBase.jl
The Base interface of the SciML ecosystem
utkarsh530/SciMLBenchmarks.jl
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
utkarsh530/SciMLNLSolve.jl
Nonlinear solver bindings for the SciML Interface
utkarsh530/SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
utkarsh530/SimpleDiffEq.jl
Simple differential equation solvers in native Julia for scientific machine learning (SciML)
utkarsh530/SimpleNonlinearSolve.jl
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
utkarsh530/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.