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Type: User
Location: New York
Type: User
Location: New York
Optax is a gradient processing and optimization library for JAX.
Shell Completion Self-Generator for Python
Optuna + LightGBM = OptGBM
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Optimization functions for Julia
Contains maps for the article, "Computing the optimal road trip across the U.S." and similar articles
A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"
Replication code for Mitman-Rabinovich 2015
optimal_landing scripts for PaGMO
Supporting repository for "Optimal Timing of Decisions: A General Theory Based on Continuation Values"
OCL tells you where to place counting locations in the transport model to get best results. Our tool employs acknowledged optimization technique to specify set of optimal counting locations catching as much flow and as many OD pairs as possible. OCL is the optimization procedure wrapped in intuitive, user friendly interface, which can quickly find optimal solution even for complex networks. User can define the budget (number of points that can be counted) and detectors which are already installed. It's also available to determine what kind of detectors we want to install: junction, link, directed link. Additional technical parameter is algorithm depth, being number of paths between origin and destination that are taken into calculation process. We propose various strategies of optimization. In our opinion, and due to our tests, the most useful is mixed maximization of both OD pairs coverage and flow coverage, however you can choose to maximize only flow, or only OD pairs. Running time depends on size of the network. On the average up-to-date PC it takes about 1 minute to download 300k paths (model for Kraków, Poland of ca. 350 zones), and then time of optimization itself depends on number of connectors and takes roughly 5s per detector. To see results visually, you can import prepared .gpa file. Additionally you can use our flow bundle generator, where you can clearly see which flows are covered with your detection. For detailed results and statistics you can see report including OD coverage, flow coverage, keys of detected elements, calculation time, etc. Screenshots
This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, and Aaron Clauset. (arXiv:1909.07578)
An open source library for portfolio optimisation
Optimal transport transforms
contains programs and data to benchmark data matching methods
MATLAB helper functions and constraint functions for optimization.
My IPython notebooks on optimization
Implementation of several 'natural' (i.e. inspired by mother nature) optimization techniques for demonstration for future student presentation for Carnegie Mellon's MSCF program.Note: Requires boost
Planned to be a set of optimization techniques with visualization on an image.
Mathematical optimization research notebook.
Lectures on optimization methods
Optimization Homework by using python and Gurobi
This repository contain a python notebook in which we create solution of allocating healthcare staff.
MATLAB code for Constrained Optimization and Unconstrained Optimization graduate courses taken at Tufts.
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
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.