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pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

pytorch_notebooks

A collection of PyTorch notebooks for learning and practicing deep learning

reinforcement-learning-in-path-finding

Reinforce Learing, Q-Rounting, Shortest-Path

reinforcement_learning_pointer_networks_tsp_pytorch

rlvrp

road_extraction_remote_sensing

Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)

roaddamagedetector

roaddamagedetector-1

roaddamagedetector-2

Projet de deepLearning EISTI ING3

rotationdetection

This is a tensorflow-based rotation detection benchmark, also called UranusDet.

satellite-image-segmentation

My final project for the Metis Data Science Bootcamp, satellite image segmentation, in partnership with Digital Globe.

shanghai-water-segmentation

Using a convolutional neural network to segment water in satellite imagery of Shanghai provided by Digital Globe

ssai-cnn

Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymyr Mnih's methods

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

testing

Testing

torch-trajectory

The World's First Search Engine for Trajectory Data

truck_detection_sentinel2_covid19

This repository is designated to detecting trucks using Sentinel-2 data.

tsp-gnn

Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G with up to a given cost?)

tsp-improve

An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.

uber_data_analysis

vsr-lkh

Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem

waternet

A convolutional neural network that identifies water in satellite images.

web-crawler

Web Crawler for baidu qunar and ctrip

wildcount

Automated counting of animals using rotation invariant features and machine learning classifier