A complete computer science study plan to become a software engineer.

LeetCode 101：力扣刷题指南

语音增强传统方法

阿里云盘小白羊版 阿里云盘PC版 aliyundriver

程序员👨🏻‍💻实用英语指南

谷歌科学上网插件备份

Maintain your CV in Markdown ✨

Chinese copywriting guidelines for better written communication／中文文案排版指北

👔支持 Markdown 和富文本的在线简历排版工具

数字IC设计 学习笔记

unofficial implementation of "CPTNN: CROSS-PARALLEL TRANSFORMER NEURAL NETWORK FOR TIME-DOMAIN SPEECH ENHANCEMENT"

Collection of audio-focused loss functions in PyTorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

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A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

Count the MACs / FLOPs of your PyTorch model.

percepnet implemented using Keras, still need to be optimized and tuned.

Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of sep…

unofficial PyTorch implementation of 《REAL-TIME DENOISING AND DEREVERBERATION WTIH TINY RECURRENT U-NET》

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design

Reproducing Quantization paper PACT

Personal Machine Learning Reading List

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍

Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)

A neural network for end-to-end speech denoising

DCCRN with various loss functions