Vaibhav Kumar Dixit's repositories
SymbolicAnalysis.jl
Symbolics-based function property propagation for optimization
SciML-Introduction
JuliaCon 2023 talk
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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.
AmplNLWriter.jl
Julia interface to AMPL-enabled solvers
DataFramesTutorials
Welcome to DataFrames.jl with Bogumił Kamiński
DifferentiationInterface.jl
An interface to various automatic differentiation backends in Julia.
DynamicPPL.jl
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
jmlr-style-file
LaTeX style file for the Journal of Machine Learning Research
KernelAbstractions.jl
Heterogeneous programming in Julia
Manopt.jl
🏔️Manopt. jl – Optimization on Manifolds in Julia
MathOptInterface.jl
An abstraction layer for mathematical optimization solvers.
NLopt.jl
Package to call the NLopt nonlinear-optimization library from the Julia language
Optim.jl
Optimization functions for Julia
pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
QuantumPropagators.jl
Propagators for Quantum Dynamics and Optimal Control
rootfs-images
Rootfs images used in Base Julia CI
rosetta-opf
AC-OPF Implementations in Various NLP Modeling Frameworks
SparseConnectivityTracer.jl
Fast operator-overloading Jacobian & Hessian sparsity detection.
SparseDiffTools.jl
Fast jacobian computation through sparsity exploitation and matrix coloring
www.juliacon.org
https://juliacon.org/