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#

las

Here are 96 public repositories matching this topic...

loaders.gl

Airborne LiDAR data manipulation and visualisation for forestry application

  • UpdatedFeb 6, 2025
  • R

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

  • UpdatedMay 27, 2023
  • Python

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

  • UpdatedMar 26, 2020
  • JavaScript

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

  • UpdatedOct 31, 2024
  • Python

A pytorch based end2end speech recognition system.

  • UpdatedJan 16, 2021
  • Python

Tools for analyzing aerial point clouds of forest data.

  • UpdatedDec 28, 2019
  • Python

Read and write ASPRS las files, Rust edition.

  • UpdatedDec 17, 2024
  • Rust

激光点云处理工具,集成Cesium与Potree实现在线点云查看和处理

  • UpdatedJan 19, 2021
  • C++
ParaView-plugins

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

  • UpdatedFeb 27, 2025
  • JavaScript
3d-forest

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.

  • UpdatedMar 16, 2025
  • C++

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++

  • UpdatedFeb 4, 2025
  • C++

This repo detect objects automatically for LiDAR data

  • UpdatedMay 7, 2019
  • Python

Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image analysis. Includes tools for: annotation, AI, HPC, porous media flow simulation, porosity analysis, permeability analysis and much more.

  • UpdatedFeb 20, 2025
  • Python

LAS/LAZ library for C#

  • UpdatedFeb 13, 2025
  • C#
las-pytorch

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

  • UpdatedJun 22, 2022
  • Python

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.

  • UpdatedJun 8, 2023
  • Python

PyTorch implementation of automatic speech recognition models.

  • UpdatedJan 10, 2021
  • Python

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

  • UpdatedJun 24, 2024
  • Jupyter Notebook

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