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-optimization_problem_solver

This is future python software which provides generic interface to a series of optimization tools. Currently supported solvers will be: Glpk AND Cplex optimizelp will use sympy for problem formulation (problem constraints, problems objectives, problem variables, etc.). Adding interface to other optimization solvers is just simple sub-classing of the abstract interface and implementing the solver techniques for new solvers.

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

astropy

Repository for the Astropy core package

data-gen-corrupt-g.e.c.o

healthpublication_lookup

hues_milp

HUESlib a python library for Modular Mixed integer Linear Programming Optimized Solver developed entirely with the Syntax and idioms of Python by Generating Python Objects to represent the decision Variables, Optimization problems and the Constraints Expressed in Standard Mathematical Expression.Hueslib is Primilary implemented for support of Energy Modular MILP.It will Support Solver like Cplex and GuruGobi and extended to support Additional Linear Problem Solvers.

hueslib-idea

medical-data-gen-corrupt-ideas-

nanodegree-android

projects of my nanodegree of android development

optimization_techniques

p2psp

Implementation of P2PSP: An application layer protocol for the real-time streaming of multimedia content over the Internet.

pgmpy

Python Library for Probabilistic Graphical Models

pythonfacedetect

detect face in python

random_synthetic_data

Generates Random data which may be used in Geco

saleor-api

Saleor Core: the high performance, composable, headless commerce API.

steganography_tool

steganography_tool-1

tardis

TARDIS - Temperature And Radiative Diffusion In Supernovae

tutorials

The "REST With Spring" Course (price changes permanently next Friday):

uav

using-cnn-for-customer-feedback-analysis