huqingli

code study's repositories

Algorithms_MathModels

【国赛】【美赛】数学建模相关算法 MATLAB实现

Language:MATLABMIT000

ASRT_SpeechRecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

Language:PythonGPL-3.0000

CEEMDAN-1

Implemantasi Ceemdan pada python

Language:Python000

Codes-for-Lane-Detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

MIT000

Conv-TasNet

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

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deep-learning-audio-specification-app

CNN deep learning model and respiratory sound database to train VGG-19 to detect and classify common lung and heart disease using the Thinklabs electronic stethoscope

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deepin-wine-ubuntu

Deepin Wine for Ubuntu/Debian

Language:C++010

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.

NOASSERTION000

Diabetes-Prediction

Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied

Language:Jupyter Notebook000

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Apache-2.0000

EdgeNets

This repository contains the source code of our work on designing efficient CNNs for computer vision

NOASSERTION000

ESPNetv2

A light-weight, power efficient, and general purpose convolutional neural network

MIT000

HCGNet

Official implementations of HCGNets：Gated Convolutional Networks with Hybrid Connectivity for Image Classification (AAAI-2020)

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heart-sounds-segmentation

Heart sounds segmentation based on LSTM neural network and Fourier Synchrosqueezed Transform.

MIT000

Heart_Sound_Classification

This repository consists of all the work done regarding Heart sound classification employing ANN, CNN and other methods, Android Application deployed with predictive model is also included.

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