ioyy900205

MFNet

This repo provides the processed samples of the manuscript "a Mask Free Neural Network for Monaural Speech Enhancement", which was accepted by INTERSPEECH2023.

DNN-separation-mechanisms

"In this repository, I will extract certain modules and organize them. Everyone is welcome to contribute useful modules, which I will also organize here together.

Mamba_Dockerfile

.leetcode

algo

数据结构和算法必知必会的50个代码实现

APC-SNR

Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

awesome-speech-enhancement-1

speech enhancement\speech seperation\sound source localization

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

CSS_with_Conformer

Code for the ICASSP-2021 paper: Continuous Speech Separation with Conformer.

CVPR2021-Paper-Code-Interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

DNS-Challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

FUIR

A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

FullSubNet

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

GFNet-Pytorch

A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.

ioyy900205.github.io

MSDNet-PyTorch

MSDNet

MTFAA-Net

Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement

music_source_separation

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

PyTorch_mess-around

RepVGG

RepVGG: Making VGG-style ConvNets Great Again

Speech_Enhancement-DCUnet_With_Transformer

오류o 차후 수정

torch_model_liang

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

yuebaoW

Config files for my GitHub profile.