utkarsh530's Stars
massgravel/Microsoft-Activation-Scripts
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
JuliaLang/julia
The Julia Programming Language
SciML/DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
JuliaGPU/CUDA.jl
CUDA programming in Julia.
sky-map-team/stardroid
Sky Map (formerly Google Sky Map, open sourced in 2012)
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.
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)
tshort/StaticCompiler.jl
Compiles Julia code to a standalone library (experimental)
JuliaGPU/KernelAbstractions.jl
Heterogeneous programming in Julia
JuliaGPU/Metal.jl
Metal programming in Julia
KaiserWhoLearns/CS-PhD-Application-fee-waivers
Collections of CS PhD Application Fee Waivers of schools in North America
SciML/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
SciML/DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
JuliaGPU/AMDGPU.jl
AMD GPU (ROCm) programming in Julia
SciML/NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
gaurav-arya/StochasticAD.jl
Research package for automatic differentiation of programs containing discrete randomness.
JuliaGPU/GPUCompiler.jl
Reusable compiler infrastructure for Julia GPU backends.
SciML/SciMLBase.jl
The Base interface of the SciML ecosystem
SciML/EasyModelAnalysis.jl
High level functions for analyzing the output of simulations
gaurav-arya/differentiable_mh
Code for paper https://arxiv.org/abs/2306.07961
utkarsh530/GPUODEBenchmarks
Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers
SciML/MATLABDiffEq.jl
Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem
SciML/PSOGPU.jl
GPU accelerated Particle Swarm Optimization
SciML/SciMLNLSolve.jl
Nonlinear solver bindings for the SciML Interface
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