Pinned Repositories
GSoD
SciPy project (Google Season of Docs)
POLYSEM_1.0
POLYSEM 1.0 is a programme for disambiguating spoken restrictive relatives and quoted vs unquoted expressions.
Reversi
The game 'Reversi' implemented in C (exercise in client-server communication, sockets, pipes, shared memory etc.)
SAT-encoding
Project 1 for the 'SAT solving' course at the LMU.
SAT_2
Project 2 for the `SAT solving' course at the LMU.
SAT_3
Project 3 for the 'SAT solving' course at the LMU.
mkg33's Repositories
mkg33/GSoD
SciPy project (Google Season of Docs)
mkg33/POLYSEM_1.0
POLYSEM 1.0 is a programme for disambiguating spoken restrictive relatives and quoted vs unquoted expressions.
mkg33/Reversi
The game 'Reversi' implemented in C (exercise in client-server communication, sockets, pipes, shared memory etc.)
mkg33/SAT_3
Project 3 for the 'SAT solving' course at the LMU.
mkg33/SAT-encoding
Project 1 for the 'SAT solving' course at the LMU.
mkg33/SAT_2
Project 2 for the `SAT solving' course at the LMU.
mkg33/adios2.jl-tutorial-translation
mkg33/Attempto_scala
mkg33/bigdata-exercises
Exercises for the Big Data lecture at ETH Zurich (Fall 2021)
mkg33/Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
mkg33/DataDrivenDiffEq.jl
A simple package for data driven modeling of dynamical systems
mkg33/DataWeaver.jl
mkg33/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
mkg33/DiffEqFlux.jl
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
mkg33/DiffEqParamEstim.jl
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
mkg33/FluxOptTools.jl
Use Optim to train Flux models and visualize loss landscapes
mkg33/fsv
mkg33/GalacticOptim.jl
Local, global, and beyond optimization for scientific machine learning (SciML)
mkg33/GlobalSensitivity.jl
mkg33/julia
The Julia Programming Language
mkg33/keras-tuner
Hyperparameter tuning for humans
mkg33/MLJSynthesis.jl
mkg33/MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
mkg33/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
mkg33/NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers
mkg33/OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
mkg33/sage
Main repository of SageMath. Now open for Issues and Pull Requests.
mkg33/scipy
Scipy library main repository
mkg33/SimpleJuliaHubTraining
mkg33/VizDataFlow.jl
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