[ICLR 2020] NAS evaluation is frustratingly hard

PROSAC algorithm in python

NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021

Optimal approximate sampling from discrete probability distributions

Efficient random sampling via linear interpolation.

Randomly sample locations on streets

Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022). 🍀

Collection of python scripts

This project uses two Turtlebot3 robots. One maps the environment with SLAM, and the other navigates a maze using an RRT algorithm. Shared data enables autonomous navigation without object detection. Developed using ROS tools, Gazebo, and Python scripts..

Production-grade enhanced CS50AI PageRank platform that ranks web pages using Markov chains, random walks, iterative convergence, graph intelligence, Streamlit analytics, Docker deployment, CI/CD, structured logging, Playwright tests, and visual graph insight demo.

An introduction to Monte Carlo methods by estimating π. This code comes in the form of a Python program.

Python weighted random sampling engine with input validation, duplicate merging, binary-search lookup, unit tests, and statistical verification notes.

A Python program to calculate the probability of drawing a specific combination of items from a collection using Monte Carlo simulations. This project leverages object-oriented programming, random sampling, and statistical analysis to estimate probabilities in complex scenarios.

Aplicação de simulações de Monte Carlo e heurísticas combinatórias para otimizar conjuntos de apostas da Mega-Sena e Lotofácil.

A collection of random sampling algorithms in Python.