Anant Thazhemadam's repositories
DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
forerunner-buildkite-plugin
Dynamically trigger templated buildkite pipelines on git diffs
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
ReservoirComputing.jl
Reservoir computing utilities for scientific machine learning (SciML)
add-private-registry
This GitHub Action adds a private Julia package registry from a Pkg Server
AtomsIO.jl
Standard input/output package for AtomsBase-compatible structures
CUDA.jl
CUDA programming in Julia.
DiffEqFlux.jl
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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.
Documenter.jl
A documentation generator for Julia.
HighDimPDE.jl
A Julia package that breaks down the curse of dimensionality in solving PDEs.
jest-coverage-report-action
Track your code coverage in every pull request.
JLLPrefixes.jl
Make yourself at home; JLLs are here to stay
maybe
The OS for your personal finances
NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
qmk_firmware
Open-source keyboard firmware for Atmel AVR and Arm USB families
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)
renovate
Universal dependency automation tool.
Revise.jl
Automatically update function definitions in a running Julia session
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.
TagBot
Creates tags, releases, and changelogs for your Julia packages when they're registered
vial-qmk
QMK fork with Vial-specific features.
Yggdrasil
Collection of builder repositories for BinaryBuilder.jl