Stars
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Skills for Real Engineers. Straight from my .agents directory.
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最新Docker容器技术，从真实案例中学习最佳实践！| Learn and understand Docker&Container technologies, with real DevOps practice!
💫 Toolkit to help you get started with Spec-Driven Development
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Battery state of charge estimation using kalman filter in Matlab
Production First and Production Ready End-to-End Keyword Spotting Toolkit
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Implementation of paper "DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement"
A training code template for DNN-based speech enhancement.
The official implementation of GTCRN, an ultra-lightweight SE model.
implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch
Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.
Repository for GNSS-based position estimation using a Deep Neural Network
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
2026年8月更新，目前国内可用Docker镜像源汇总，DockerHub国内镜像加速列表，🚀DockerHub镜像加速器
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Support PyTorch model conversion with LiteRT.
Mining effective negative training samples for keyword spotting (PyTorch)
In this repository, I implement a system for detecting specific spoken words in speech signal. When reading a speech signal, I detect not only the presence, but also the time position of the keywor…
LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization
Keyword Spotting (KWS) API wrapper for TFLite streaming models.
一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目，CPU上的实时率(RTF)小于0.1