https://github.com/avik-pal/boundaryvaluediffeq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
https://github.com/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)
https://github.com/avik-pal/diffeqbase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
https://github.com/avik-pal/steadystatediffeq.jl
Solvers for steady states in scientific machine learning (SciML)
https://github.com/avik-pal/pymarl
Python Multi-Agent Reinforcement Learning framework
https://github.com/avik-pal/nlsolve.jl
Julia solvers for systems of nonlinear equations and mixed complementarity problems
https://github.com/avik-pal/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
https://github.com/avik-pal/diffeqoperators.jl
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
https://github.com/avik-pal/atomicgraphnets.jl
Atomic graph models for molecules and crystals in Julia
https://github.com/avinashresearch1/gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
https://github.com/avinashresearch1/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.
https://github.com/avinashresearch1/symbolics.jl
Symbolic programming for the next generation of numerical software
https://github.com/avinashresearch1/thermofluidstream
The DLR Thermofluid Stream Library
https://github.com/avinashresearch1/hybridsystems.jl
Hybrid Systems definitions in Julia
https://github.com/avinashresearch1/clapeyron.jl
Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.
https://github.com/avinashresearch1/controlsystems.jl
A Control Systems Toolbox for Julia