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32 search results found

Loaders.gl ⭐ 636

Loaders for big data visualization. Website:

Kospeech ⭐ 572

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Airborne LiDAR data manipulation and visualisation for forestry application

Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.

Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io

Read and write ASPRS las files, Rust edition.

Tools for analyzing aerial point clouds of forest data.

Paraview Plugins ⭐ 47

ParaView plugins

3d Forest ⭐ 41

Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins.

Xeokit Convert ⭐ 40

Convert various AEC model formats for efficient viewing in the browser with xeokit.

R package to read and write las and laz files used to store LiDAR data

Las Pytorch ⭐ 32

Listen, Attend and spell model for E2E ASR. Implementation in Pytorch

Copc Lib ⭐ 32

copc-lib provides an easy-to-use reader and writer interface for creating and reading Cloud Optimized Point Clouds, with bindings for Python and C++

Wellio.js ⭐ 30

JavaScript for converting well-log standard .las file format to json format

A pytorch based end2end speech recognition system.

Lidarproc ⭐ 27

激光点云处理工具，集成Cesium与Potree实现在线点云查看和处理

Typescript/JavaScript library for parsing standard well log files (Geophysical well logs))

Object Detection Using Lidar ⭐ 23

This repo detect objects automatically for LiDAR data

Laszip.net ⭐ 17

LAS/LAZ library for C#

Batch_hillshader ⭐ 16

Plugin to generate a three light exposure hillshade (shaded relief by combining three light exposures)

An R package for reading Log Ascii Standard (LAS) files for well log data.

Pointcloud_viewer ⭐ 14

A small Go library for reading and writing LiDAR (LAS) files

Lasio.jl ⭐ 12

Julia package for reading and writing the LAS lidar format.

End To End Speech Recognition Models ⭐ 11

PyTorch implementation of automatic speech recognition models.

Dlisio_notebooks ⭐ 9

Open source, public notebooks for working with DLISIO

Automatic Speech Recognition Models ⭐ 9

End-to-End Speech Recognition models with PyTorch

Python library for parsing standard well log files (Geophysical well logs)

Python library for checking conformity of Log ASCII Standard (LAS) files to standards

Asr Paper ⭐ 6

🔥 ASR教程: https://dataxujing.github.io/ASR-paper/

Single-header library for loading LiDAR LAS files.

Las_explorer ⭐ 5

LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

1-32 of 32 search results

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