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a-robust-optimization-approach-for-selecting-urban-fire-engine-location-companies

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

algorithms---python

All Algorithms implemented in Python

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

bike_sharing_system

Stochastic and Robust Optimization, Multi Criteria Decision Making and MultiMOORA for bike sharing systems in Concepción. Chile.

bilevel-optimization-emissions

Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-objective model is proposed for maximizing profits of retailer, minimizing the emissions produced, & minimizing the total cost of customers.

bmp-multiobjective-optimisation

Implementations of multiple genetic algorithm based (NSGA-II, NSGA-III, C-TAEA) and fuzzy optimization algorithms for optimisation of Best Management Practices (BMPs) in the Greater Hyderabad Municipal Corporation Area.

combinatorial-optimization-in-gurobi

Combinatorial Optimization in Gurobi

computer_components_moo

Computer Components selection solved as a MultiObjective Optimization Problem

dcmoea

A general framework of dynamic constrained multiobjective evolutionary algorithms for constrained optimization

deaforchinesefactories

Data Envelopment Analysis for Factories in all 31 Chinese Provinces

decisiontreecoffeecasestudy

Create Decision tree model to predict the number of customers who would buy a new coffee product. Use entropy and gini index criterion to evaluate the model

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

desdeo-emo

This repository contains Evolutionary Algorithms that can be used for multi-objective optimization. Interactive optimization is supported. Methods such as RVEA and NSGA-III can be found here.

dpdp

DPDP

dro-3

Distributionally Robust Optimization aaplied to the long-term generation scheduling problem

fair-resource-allocation

Fair Resource Allocation is an academic project which aims at incorporating "Fairness" components in to an allocation model.

food_delivery

Price, Demand and Profit Analysis in the Beverage Category for a Food Delivery Company

freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

jmetalpy

A framework for single/multi-objective optimization with metaheuristics

kapellmeister-multi-objective-optimization-of-container-allocation-and-rescheduling-with-ga

Container resource allocation tool which beats Kubernetes's performance by 71%

kdro

Code for the paper: Kernel Distributionally Robust Optimization

logos

Discrete optimization models (i.e., stochastic optimization, distributionally robust optimization and conditional value-at-risk optimization) that can be employed for capital budgeting optimization problems

mealplanning

This is a project which uses Web Scrapping, Stochastic programming, Linear Programming and Python to optimize a meal planning for the user.

modeling-examples

Gurobi modeling examples

moea-net-hl

The relevant codes of our work "Enhancing Robustness and Transmission Performance of Heterogeneous Complex Networks via Multi-Objective Optimization".

multi-objective-cobyla-optimization-for-supply-chain-mangment

it involves the implementation of pareto forntier for 3 objectives in the supply chain optimization