Popular GitHub Repositories for Irregular Packing

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-performing even with continuous solution space.

This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data

Graph Neural Networks for Irregular Time Series

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

A comprehensive toolkit for reliably locking, packing and deploying environments for ComfyUI workflows.

Packing irregular objects with deep reinforcement learning.

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

A language and compiler for irregular tensor programs.

Unofficial PyTorch implementation of 2D Attentional Irregular Scene Text Recognizer

Bin Packing Problem using Neural Combinatorial Optimization.

一个关于不规则时间序列和不完整时间序列的优秀项目

Solving the 3D bin packing problem with reinforcement learning

[IEEE RA-L 2024] GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning

Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an optimal packing strategy during their training.

3D Packing with Deep Reinforcement Learning using Unity ML-Agents (AI)