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Demo application for the Android version of ALIZÉ
A Dual Bounding Framework through Cost Splitting for Binary Quadratic Optimization
Caffe: a fast open framework for deep learning.
CNNs for sentence classification
A harness for building the bundled suite of interoperable optimization tools available in the COIN-OR repository.
Concorde is a computer code for the symmetric traveling salesman problem (TSP) and some related network optimization problems. It was created by David Applegate, Robert E. Bixby, Vašek Chvátal, and William J. Cook.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
repository of the Canada Research Chair in Supply Chain Analytics
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
The code for the SRDQN algorithm to train an agent for the beer game problem
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
A python library for decision tree visualization and model interpretation.
An efficient Python implementation of the Apriori algorithm.
Encode-attend-navigate unofficial Pytorch implementation
Java implementation of the pulse algorithm to solve the elementary shortest path problem with resource constraints (ESPPRC). The paper is available at: https://doi.org/10.1287/trsc.2014.0582
The world's simplest facial recognition api for Python and the command line
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Fixed Rank Kriging with big data
Probabilistic time series modeling in Python
The companion resource repository for the book Going Gas - from VBA to Apps Script
Predict the price of gold using sequence generation via ANNs with LSTM neurons
Contains all code examples given in the 2015 version of my Leanpub book "Google Spreadsheet Programming". Each chapter is given its own GAS file (.gs).
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
Fit interpretable models. Explain blackbox machine learning.
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.