lkapelevich Goto Github PK
Name: Lea Kapelevich
Type: User
Company: Amazon
Bio: Applied Scientist at Amazon. MIT Operations Research Center Ph.D. grad. This is my personal account.
Location: Seattle, WA
Name: Lea Kapelevich
Type: User
Company: Amazon
Bio: Applied Scientist at Amazon. MIT Operations Research Center Ph.D. grad. This is my personal account.
Location: Seattle, WA
Performance and data profiles
Julia utilities for the conic benchmark format for mathematical optimization
run files for experimenting with conjugate gradients of barrier functions
Julia interface for the CPLEX optimization software
Multivariate polynomials implementation of commutative and non-commutative variables
Julia wrapper for the ECOS conic optimization solver
Julia interface for Gurobi Optimizer
Linear optimization software
interior point solver for general convex conic optimization problems
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
The Julia Language: A fresh approach to technical computing.
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
A Julia Basket of Hand-Picked Krylov Methods
An abstraction layer for mathematical optimization solvers.
Interface to the Mosek solver in Julia
Standardized API for multivariate polynomial bases based on the MultivariatePolynomials.jl API.
Calling the PARDISO library from Julia
A JuMP extension for Polynomial Optimization
Fast complex polynomial root finder, with support for arbitrary precision calculations
Class project, not meant to be used
Small package containing the rref fonction for computing the reduced row echelon form of the matrix A
The functionality from this package has been moved to https://github.com/odow/SDDP.jl
Stochastic Dual Dynamic Programming in Julia
Extension of MultivariatePolynomials to semialgebraic sets
Naive dense toy for COS (for math not for use)
Making packages work faster with more extensive precompilation
Sparse regression over clusters
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.