Pinned Repositories
DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
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
GlobalSensitivity.jl
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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.
DiffEqBayes.jl
Extension functionality which uses Stan.jl and Turing.jl to estimate the parameters to differential equations
GSoC-Proposal
HybridSN
JuliaCon-2019
My presentation for JuliaCon 2019
quantumshooting
SymbolicAnalysis.jl
Symbolics-based function property propagation for optimization
Vaibhavdixit02's Repositories
Vaibhavdixit02/SymbolicAnalysis.jl
Symbolics-based function property propagation for optimization
Vaibhavdixit02/quantumshooting
Vaibhavdixit02/SciML-Introduction
JuliaCon 2023 talk
Vaibhavdixit02/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Vaibhavdixit02/algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
Vaibhavdixit02/AmplNLWriter.jl
Julia interface to AMPL-enabled solvers
Vaibhavdixit02/DataFramesTutorials
Welcome to DataFrames.jl with Bogumił Kamiński
Vaibhavdixit02/DifferentiationInterface.jl
An interface to various automatic differentiation backends in Julia.
Vaibhavdixit02/dixitconsultinggroup.github.io
DCG
Vaibhavdixit02/DynamicPPL.jl
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
Vaibhavdixit02/Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
Vaibhavdixit02/ExtSquared.jl
Vaibhavdixit02/FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Vaibhavdixit02/General
The official registry of general Julia packages
Vaibhavdixit02/jmlr-style-file
LaTeX style file for the Journal of Machine Learning Research
Vaibhavdixit02/JSON3.jl
Vaibhavdixit02/KernelAbstractions.jl
Heterogeneous programming in Julia
Vaibhavdixit02/Manopt.jl
🏔️Manopt. jl – Optimization on Manifolds in Julia
Vaibhavdixit02/MathOptInterface.jl
An abstraction layer for mathematical optimization solvers.
Vaibhavdixit02/NLopt.jl
Package to call the NLopt nonlinear-optimization library from the Julia language
Vaibhavdixit02/Optim.jl
Optimization functions for Julia
Vaibhavdixit02/pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
Vaibhavdixit02/QuantumPropagators.jl
Propagators for Quantum Dynamics and Optimal Control
Vaibhavdixit02/rootfs-images
Rootfs images used in Base Julia CI
Vaibhavdixit02/rosetta-opf
AC-OPF Implementations in Various NLP Modeling Frameworks
Vaibhavdixit02/SparseConnectivityTracer.jl
Fast operator-overloading Jacobian & Hessian sparsity detection.
Vaibhavdixit02/SparseDiffTools.jl
Fast jacobian computation through sparsity exploitation and matrix coloring
Vaibhavdixit02/stan-install-buildkite-plugin
Vaibhavdixit02/www.juliacon.org
https://juliacon.org/
Vaibhavdixit02/Yggdrasil
Collection of builder repositories for BinaryBuilder.jl