The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org/abs/1610.09893)
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Updated
Feb 27, 2017
The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org/abs/1610.09893)
Collection of puzzles transformed into constraint satisfaction problems (CSPs) and solved using Google's or-tools
A Monte Carlo and max-flow approach
Source code from AWS Lambda function that solves the Route Optimization problem, using Google Optimization tools
Fair Rent Constraint Programming in Python
Solving The Traveling Salesman Problem (TSP) using Google OR-TOOLS
Project of the final year of my engineering courses
Hackathon Samu Social at The Hive.
Using Operations Research to minimize transactions in a debt network
Estudos sobre Pesquisa Operacional com ortools. Studies on Operational Research with orthools.
Implemented MILP for profit optimization as part of prescriptive analytics solution for NY based Fortune 200 CPG industry partner, using branch-and-bound algorithm
Solving Sudoku using Constraint Programming
Using Google Operation Research Tools (Ortools) to solve complex scheduling problems (General optimization problems).
Nomad Cyclist Problem - A variation of Traveling Salesman Problem (with open tour) adjusted for elevation and factors
Control panel for "Vehicle Route Optimization (VRP)" algorithm.
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