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algo

数据结构与算法

algorithms_mathmodels

【国赛】【美赛】数学建模相关算法 MATLAB实现

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

capsnet-fashion-mnist

Capsule Network on Fashion MNIST dataset

capsnet-tensorflow

With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in tensorflow.

capsnet-tensorflow-1

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

ceemdan

for de-noising

ceemdan-1

Implemantasi Ceemdan pada python

classification-of-heart-sound-signal-using-multiple-features-

Data plus code fo Classification of Heart Sound Signal Using Multiple Features

cloud-health

health manage system

codes-for-lane-detection

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

comb_filter

Homework - DSP - Notch Filter

conv-tasnet

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

cs229_project_heartsound

Application of Machine Learning Techniques for Heart Sound Recording Classification By Vincent Lee and Anatoly Yakovlev

darknet-nnpack

Fork of darknet-nnpack

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

deepin-wine-ubuntu

Deepin Wine for Ubuntu/Debian

deepspeechrecognition

A Chinese Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

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.

diabetes-prediction

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

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。

edgenets

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

espnetv2

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

evolopy-nn

factorized-tdnn

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

firmware

PX4 Autopilot Software

floodsung-deep-learning-papers-reading-roadmap

goodstudy.github.io

hcgnet

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

heart-sounds-segmentation

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