https://github.com/baggepinnen/lowrankmodels.jl
LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.
https://github.com/baggepinnen/jump.jl
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
https://github.com/baggepinnen/gaussianprocesses.jl
A Julia package for Gaussian Processes
https://github.com/baggepinnen/diffeqsensitivity.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.
https://github.com/baggepinnen/chainrules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
https://github.com/baggepinnen/augmentor.jl
A fast image augmentation library in Julia for machine learning.
https://github.com/bagnasconicolo/maxmin
MATLAB Software for MAX and MIN evaluation
https://github.com/bagnasconicolo/zpfit
IPYNB Notebook for a linear fit with Latex output.
https://github.com/balisujohn/javabrainf-kinterpreter
An interpreter written in Java for the esoteric programming language BrainF**k
https://github.com/balisujohn/pypose
To connect classic robotics with modern learning methods seamlessly.
https://github.com/balisujohn/gymnasium
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
https://github.com/balisujohn/gym
A toolkit for developing and comparing reinforcement learning algorithms.
