Pinned Repositories
100_days_of_algorithms
100 Algorithms in 100 Days
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
academic-cv
A Django project for automatically creating an academic CV
adp-portfolio-selection
Approximate Dynamic Programming for Portfolio Selection Problem
adp-powell-exercises
Approximate Dynamic Programming exercises from Powell (2011)
advanced-crispy-forms-examples
Code examples from the blog post "Advanced Form Rendering with Django Crispy Forms"
amplitude
A collection of notable optimization problems solved with AMPL.
bmrbs
Automatically exported from code.google.com/p/bmrbs
SSP
vizcacha
Web scrapers using Scrapy framework to collect prices from online supermarkets and other sources.
victorv2k's Repositories
victorv2k/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
victorv2k/adp-portfolio-selection
Approximate Dynamic Programming for Portfolio Selection Problem
victorv2k/app-ideas
A Collection of application ideas which can be used to improve your coding skills.
victorv2k/Approximate-Dynamic-Programming
ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
victorv2k/awesome-AI-books
Some awesome AI related books and pdfs for learning and downloading
victorv2k/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
victorv2k/cheatsheets
RStudio Cheat Sheets
victorv2k/cienciadedatos.net
Web de divulgación con material formativo sobre estadística, algoritmos de machine learning, ciencia de datos y programación en R y Python
victorv2k/coco
Numerical Black-Box Optimization Benchmarking Framework
victorv2k/CVRPTW_MILP
Solving a Capacitated Vehicle Routing Problem with time windows constraints (CVRPTW) with Mixed Integer Linear Programming (MILP) in python-gurobi API.
victorv2k/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
victorv2k/Flutter-AI-Rubik-cube-Solver
Flutter-Python rubiks cube solver.
victorv2k/free-python-books
Python books free to read online or download
victorv2k/Graficos-con-R
:green_book: Repositorio del libro Gráficos con R
victorv2k/guiadevbrasil
GUIA EXTENSO DE PROGRAMAÇÃO:
victorv2k/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
victorv2k/Manual-de-R
:orange_book: Manual básico de R
victorv2k/mathart
Create mathematical art with R
victorv2k/MATLAB-Octave
This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.
victorv2k/ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
victorv2k/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
victorv2k/Pyomo
Pyomo respository provides a comprehensive library of solved models in Supply chain management
victorv2k/Python-para-estadistica
:snake: En este repositorio se presentan lecciones de Python para hacer estadística
victorv2k/pyVRP
The pyVRP is python library that solves (using Genetic Algorithms): Capacitated VRP, Multiple Depot VRP, VRP with Time Windows, VRP with Homogeneous or Heterogeneous Fleet, VRP with Finite or Infinite Fleet, Open or Closed Routes, TSP, mTSP and various combination of these types.
victorv2k/resistencia.uy
victorv2k/simplex
Software Desarrollado para el paper presentado en el CONAIISI 2019 en el marco de la materia Investigación Operativa
victorv2k/Simulation-of-Vehicle-Routing-Problem
Vehicle Routing Problems (VRP) are combinatorial optimisation problems that deal with the transportation of people or goods between depots and customers. The goal is to identify the optimal set of routes for multiple vehicles while minimising operating costs and maximising customer satisfaction. One of the assumptions made is that the vehicles deliver goods from a single central depot to customers that have placed relevant orders. Finding an optimal solution to VRPs is NP-hard. Therefore in general, heuristics and metaheuristics are used to solve VRPs in practical applications due to the scope of the problem.
victorv2k/theatre-scheduling
Elective patient scheduling using linear programming
victorv2k/tutorial-sklearn
Tutorial sobre scikit-learn completo
victorv2k/zoom-recordings-downloader
A Python application to download Zoom users recordings