Pinned Repositories
FastStyleTransfer.jl
Fast Neural Style Transfer in Julia
FluxMPI.jl
Distributed Data Parallel Training of Deep Neural Networks
RayTracer.jl
Differentiable RayTracing in Julia
RegNeuralDE.jl
Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)
Wandb.jl
Unofficial Julia bindings for logging experiments to wandb.ai
social-driving
Design multi-agent environments and simple reward functions such that social driving behavior emerges
Lux.jl
Explicitly Parameterized Neural Networks in Julia
DeepEquilibriumNetworks.jl
Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.
NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
avik-pal's Repositories
avik-pal/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
avik-pal/DataInterpolations.jl
A library of data interpolation and smoothing functions
avik-pal/General
The official registry of general Julia packages
avik-pal/KolmogorovArnold.jl
avik-pal/SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
avik-pal/Zygote.jl
21st Century AD
avik-pal/ADTypes.jl
Repository for SciML AD backend types
avik-pal/BandedMatrices.jl
A Julia package for representing banded matrices
avik-pal/BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
avik-pal/ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
avik-pal/ComponentArrays.jl
Arrays with arbitrarily nested named components.
avik-pal/CUDA.jl
CUDA programming in Julia.
avik-pal/cv
avik-pal/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
avik-pal/DiffEqFlux.jl
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers
avik-pal/Documenter.jl
A documentation generator for Julia.
avik-pal/Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
avik-pal/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
avik-pal/FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
avik-pal/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
avik-pal/LinearSolve.jl
avik-pal/NNlib.jl
No description, website, or topics provided.
avik-pal/NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
avik-pal/OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
avik-pal/SciMLBase.jl
The Base interface of the SciML ecosystem
avik-pal/SciMLBenchmarks.jl
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
avik-pal/SteadyStateDiffEq.jl
Solvers for steady states in scientific machine learning (SciML)
avik-pal/Symbolics.jl
Symbolic programming for the next generation of numerical software
avik-pal/www.julialang.org
Julia Project website
avik-pal/Yggdrasil
Collection of builder repositories for BinaryBuilder.jl