Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
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Updated
May 27, 2023 - Python
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
A pytorch based end2end speech recognition system.
This repo detect objects automatically for LiDAR data
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.
Tools for analyzing aerial point clouds of forest data.
ParaView plugins
Python library for checking conformity of Log ASCII Standard (LAS) files to standards
Listen, Attend and spell model for E2E ASR. Implementation in Pytorch
PyTorch implementation of automatic speech recognition models.
A simple python library for reading lidar point clouds from .las files
PyTorch implementation of Listen, Attend and Spell (LAS) speech recognition paper
Tools to simulate airborne lidar scanning data (re-write of pointcloud_utilities).
Plugin to generate a three light exposure hillshade (shaded relief by combining three light exposures)
End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
An implementation of LAS(Listen, Attend, and Spell) model
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