Davi Sales Barreira's starred repositories
ot_estimators
Implementations of several fast approximate algorithms for geometric optimal transport (OT)
Animations.jl
Animations, easings and interpolations for animated visualizations.
VegaLite.jl
Julia bindings to Vega-Lite
StochasticOptimalTransport.jl
Julia implementation of stochastic optimization algorithms for large-scale optimal transport.
StatisticalConsequencesOfFatTails
Python / R / Mathematica / ___ code and commentaries based on Nassim Taleb's "Statistical Consequences of Fat Tails" - Feel free to contribute
Calculus.jl
Calculus functions in Julia
awesome-optimal-transport
A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.
DataFramesMeta.jl
Metaprogramming tools for DataFrames
PyDataGlobal2020
An introduction to DataFrames.jl for pandas users
OTML_DS3_2018
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
Optimal-Transport-Information-Geometry
A reading course on optimal transport on graphs and ties with information geometry, Spring 2019
InformationGeometry.jl
Methods for computational information geometry
DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
PackageCompiler.jl
Compile your Julia Package
OptimalTransport.jl
Optimal transport algorithms for Julia
computational-thinking
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
JuliaGraphsTutorials
Tutorials in the form of Jupyter notebooks for the JuliaGraphs ecosystem