A generator of point clouds dataset for PyPipes.

Last update: Jan 13, 2022

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Deep Learning CloudPipesGenerator

Overview

CloudPipesGenerator

Documentation | Colab Notebooks | Video Tutorials | Master Degree website

A generator of point clouds dataset for PyPipes.

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Using this project (how to)

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Installation

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	`cpu`	`cu102`	`cu113`
Linux	✅	✅	✅
Windows
macOS

Requirements

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Testing

You can run tests by running pytest in the root, or by running python3 setup.py test. Code coverage is enabled with pytest-cov. You can find some more tests under the testing/ folder!

License

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Owner

GitHub Repository

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A generator of point clouds dataset for PyPipes.

Related tags

Overview

CloudPipesGenerator

Using this project (how to)

Installation

Requirements

Testing

License

Owner

Replication package for the manuscript "Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?" submitted to TOSEM

PyTorch implementation of Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

This repository provides some of the code implemented and the data used for the work proposed in "A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems".

Learning kernels to maximize the power of MMD tests

[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation

This Repo is the official CUDA implementation of ICCV 2019 Oral paper for CARAFE: Content-Aware ReAssembly of FEatures

Vpw analyzer - A visual J1850 VPW analyzer written in Python

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Code and Experiments for ACL-IJCNLP 2021 Paper Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.

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Point cloud processing tool library.

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