SherlockHolmes29's starred repositories
pytorch-cifar
95.47% on CIFAR10 with PyTorch
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
learn_backtrader
BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）
heartrate_analysis_python
Python Heart Rate Analysis Package, for both PPG and ECG signals
speech-denoising-wavenet
A neural network for end-to-end speech denoising
SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Speech-enhancement
Deep learning for audio denoising
sppnet-pytorch
A simple Spatial Pyramid Pooling layer which could be added in CNN
depression-detect
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Speech_Enhancement_DNN_NMF
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
kaggle-birdsong-recognition
1st Place solution to the Cornell Birdcall Identification competition.
Audio-Digital-Processing
数字信号处理大作业：Matlab实现语音分析：加噪声，频谱分析，滤波器等等（内附报告）【Matlab for speech analysis: add noise, spectrum analysis, filter, etc】
ghostnet_cifar10
ghostnet_cifar10
Clustering-Algorithms
基于Python实现了K-Means、GMM、DBSCAN、AGNES等四种常见的聚类算法
DTW_Digital_Voice_Recognition
基于DTW与MFCC特征进行数字0-9的语音识别，DTW，MFCC，语音识别，中英数据，端点检测，Digital Voice Recognition。
Speech-Commands-Classification-by-LSTM-PyTorch
Classification of 11 types of audio clips using MFCCs features and LSTM. Pretrained on Speech Command Dataset with intensive data augmentation.
classification-cifar10-pytorch
Train several classical classification networks in cifar10 dataset by PyTorch
fatigue-detection-eeg
Classification of Fatigue in Consumer-grade EEG Using Entropies as Features
Variable_Length_Emotion_Recognition
Classify the emotions from variable-length speech segments
EEG-Clustering
Signal processing and clustering of EEG signals
svm-voice-recognition
SVM classifier for voice recognition.
Audio-Classification-using-MFCC-and-Spectrogram
Audio classification using a simple SVM classifier making use of MFCC and Spectrogram features coded from scratch
SpatialPyramidPooling_tf2
Spatial Pyramid Pooling is used when there are variable sized data in the dataset, the image shape is not specified at the start of the code and can be changed dynamically.
Emotion-Detection-from-Speech
Classification of human speech based on emotion
SPP-Pneumonia-Net
A spatial pyramid pooling based CNN to classify different types of pneumonia
Case-1-data-classification-of-BP-neural-network-speech-feature-signal-classification
Case 1 data classification of BP neural network speech feature signal classification, MATALAB