Advent of Code 2021

Merry christmas! 🎄 🎅

To get solutions and approximate execution times for implementations, please execute the run.py script in the following manner:

usage: AoC2021 pipieline [days] [parts] [options]
optional arguments:
-h, --help            show this help message and exit
-d, --days [DAYS [DAYS ...]]
                      set what days to solve
-s STATS, --stats STATS
                      set precision for benchmarking stats
-p, --parts [PARTS [PARTS ...]]
                      set which parts of a day to solve
-v, --verbose         set logging in verbose mode


$ python3 run.py -d 1 -p 1 2 -v -s micro
Solving day=01 part=1
---------------------
answer: 1393
time: 263782.0μs

Solving day=01 part=2
---------------------
answer: 1359
time: 262318.9μs

Propagated sufficient statistics
--------------------------------
slowest:  day 1 part 1
fastest:  day 1 part 2
variance:  535165.4025
mean:  263050.45

If you have any suggestions on how to improve this pipeline, contact me or create a pull request!
Reach me at [email protected], happy star-hunting! ⭐ 🎁

Solutions and questions for AoC2021. Merry christmas!

Related tags

Overview

Advent of Code 2021

Owner

Wilhelm Ågren

Object recognition using Azure Custom Vision AI and Azure Functions

Norm-based Analysis of Transformer

Aalto-cs-msc-theses - Listing of M.Sc. Theses of the Department of Computer Science at Aalto University

Parameterized Explainer for Graph Neural Network

VSR-Transformer - This paper proposes a new Transformer for video super-resolution (called VSR-Transformer).

Anagram Generator in Python

OpenMMLab Text Detection, Recognition and Understanding Toolbox

Differentiable Optimizers with Perturbations in Pytorch

MG-GCN: Scalable Multi-GPU GCN Training Framework

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

Deep Q-learning for playing chrome dino game

Laser device for neutralizing - mosquitoes, weeds and pests

PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019

A deep learning model for style-specific music generation.

A paper using optimal transport to solve the graph matching problem.

An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020

A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection

An implementation for the loss function proposed in Decoupled Contrastive Loss paper.

Realtime Face Anti Spoofing with Face Detector based on Deep Learning using Tensorflow/Keras and OpenCV