Scientific-ML

Pinned Repositories

18337
18.337 - Parallel Computing and Scientific Machine Learning
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18S096SciML
18.S096 - Applications of Scientific Machine Learning
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6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
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DataStructures.jl
Julia implementation of Data structures
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DiffEqBenchmarks.jl
Benchmarks for the DiffEq Solvers
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DiffEqTutorials.jl
Tutorials for using the DiffEq ecosystem
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IntroToJulia
A Deep Introduction to Julia for Data Science and Scientific Computing
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lecture-source-jl
Source files for "Lectures in Quantitative Economics" -- Julia version
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Mocha.jl
Deep Learning framework for Julia
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Neural-ODE-Experiments
This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
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Scientific-ML's Repositories

Scientific-ML/18337
18.337 - Parallel Computing and Scientific Machine Learning
Language:HTML00
Scientific-ML/18S096SciML
18.S096 - Applications of Scientific Machine Learning
Language:HTML0 1 00
Scientific-ML/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
Language:Jupyter Notebook00
Scientific-ML/DataStructures.jl
Julia implementation of Data structures
Language:Julia00
Scientific-ML/DiffEqBenchmarks.jl
Benchmarks for the DiffEq Solvers
Language:HTML00
Scientific-ML/DiffEqTutorials.jl
Tutorials for using the DiffEq ecosystem
Language:HTML00
Scientific-ML/IntroToJulia
A Deep Introduction to Julia for Data Science and Scientific Computing
Language:HTML00
Scientific-ML/lecture-source-jl
Source files for "Lectures in Quantitative Economics" -- Julia version
Language:TeX00
Scientific-ML/Mocha.jl
Deep Learning framework for Julia
Language:Julia00
Scientific-ML/Neural-ODE-Experiments
This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
Language:Jupyter Notebook00
Scientific-ML/sciml-papers
Collection of papers and references for scientific machine learning techniques and applications
Scientific-ML/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
Scientific-ML/Strategems.jl
Quantitative systematic trading strategy development and backtesting in Julia
Scientific-ML/Surrogates.jl
Surrogate modeling and optimization
Scientific-ML/XGBoost.jl
XGBoost Julia Package