Implementation of base DL tasks
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Updated
Feb 21, 2026 - Jupyter Notebook
Implementation of base DL tasks
SilkierQuartz can host jobs using HostService and Provide a web management tools for Quartz !
Python implementation of end-to-end Automatic Speech Recognition using fully convolutional architectures (Jasper & QuartzNet), designed for efficient, scalable speech-to-text.
This project is dedicated to Morse code recognition on different audio signals. It includes analytical and ML methods for signal processing and tone morse signals decoding.
Quartz with Blazorise
WeatherReportApi is a weather reporting system that fetches weather data from OpenWeatherMap, schedules reports via Quartz.NET, and sends them to subscribers via email. It uses PostgreSQL for data storage, follows a structured architecture, and includes features like job scheduling, API versioning, and detailed statistics.
This repo builds an end-to-end deep learning application that supports speech recognition system. It's simple to use and understand 😄
基于Quartz.NET3.0的定时任务Web可视化管理。docker打包开箱即用、内置SQLite持久化、语言无关、业务代码零污染、支持 RESTful风格接口、傻瓜式配置
[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition
Jasper 기반 양자화된 모델인 Quartznet 한국어 음성인식
Quartznet implementation on pytorch [https://arxiv.org/abs/1910.10261]
A simple web extension for the great quartznet library
Simple .NET Core service integrating `Quartz.NET` with `MassTransit` for e.g to operate scheduled messages.
Automatic speech recognition using neural networks
Automatic Speech Recognition (ASR) model QuartzNet trained on English CommonVoice. In PyTroch with CTC loss and beam search.
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