nvlinhong

nvlinhong's Stars

• GhadaSokar/Sparse-Denosing-AutoEncoder

  A pure implementation for sparse denoising autoencoder with adaptive evolutionary training using Scipy. The sparse implementation makes the algorithm scalable to high dimensional data and trainable on CPUs.

  Language:Python4

• ggbioing/mcvae

  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.

  Language:Python295

• chr2117216003/machine_learning

  Language:Jupyter Notebook1310

• sparsehash/sparsehash

  C++ associative containers

  Language:C++1.6k258

• heucoder/dimensionality_reduction_alo_codes

  特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

  Language:Python2.3k621

• isha-git/Alzheimers-Disease

  Predicting Susceptibility to Alzheimer's Disease using Support Vector Machine and Decision Trees

  Language:Python73

• Clincius/BoatRecognition

  Image Classifier using different CNN for feature extraction and SVM for classification

  Language:Python5

• Akhilesh64/Image-Classification-using-SIFT

  Classification of Images using Support Vector Machines and Feature Extraction using SIFT.

  Language:Python143

• HuseyinUtkuASLAN/ImageRecognition

  Project to find which pictures have human in them. For feature extraction Histogram of Gradient (HOG) is used and for classification vector machine, k-means clustering and feed forward neural network is used.

  Language:Python23

• ypwhs/deeplearning-models

  各种深度学习结构、模型和技巧的集合

  Language:Jupyter Notebook11835