zeizeil's starred repositories
HOG-descriptor
implement the HOG(histogram of Gradient) feature extraction in matlab.
Enjoy-Hamburger
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
Speech-Separation
Here we will develop a general model for Speech Separation.Without any dependency on wsj0 dataset.
deep-clustering
A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation
separation_data_preparation
Data preparation for separation
deep-clustering
deep clustering method for single-channel speech separation
Deep-Clustering-for-Speech-Separation
Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation
Cell-Phone-detection-in-restricted-areas
The objective of this work is to detect the cell phone and/or camera used by a person in restricted areas. The paper is based on intensive image processing techniques, such as, features extraction and image classification. The dataset of images is generated with cell phone camera including positive (with cell phone) and negative (without cell phone) images. We then extract relevant features by using classical features extraction techniques including Histogram of Oriented Gradients (HOG) and Speeded up Robust Features (SURF).The extracted features are then, passed to classifier for detection. We employ Support Vector Machine (SVM), Nearest Neighbor (K-NN) and Decision tree classifier which are already trained on our dataset of training images of persons using mobile or otherwise. Finally, the detection performance in terms of error rate is compared for various combinations of feature extraction and classification techniques. Our results show that SURF with SVM classifier gives the best accuracy.
bag_of_features
Image Classification Based on Bag of Features with SIFT and SURF Descriptors
patternRecognitionCNNModel
Pattern Recognition CNN Model
Tensorflow-CNN
Various Convolutional Neural Network in Practice
text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
cnn_captcha
use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.