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

EXplainable Artificial Intelligence (XAI)

This repository contains the code for the paper ``Identifiable VAEs via Sparse Decoding''.

Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs

Code for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in Deep Latent Space"

Solution to the first stage Quiz of Hamoye internship: Introduction to Python for Machine Learning

A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

My implementation of Fully Convolutional Neural Networks in Keras

Official repository for the CVPR 2021 paper "Learning Feature Aggregation for Deep 3D Morphable Models"

Quick program made to generate alpha and delta tables for Hidden Markov Models

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

A solution to the 2D Ising model of ferromagnetism, implemented using the Metropolis algorithm

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation

Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning"

This repository stores the code to reproduce the results published in "TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios"

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

Blender Python - Node-based multi-line text and image flowchart

DABO: Data Augmentation with Bilevel Optimization

CSD: Consistency-based Semi-supervised learning for object Detection

RoIAlign & crop_and_resize for PyTorch