tandachi

01_ModelPerformance

Bayesian model performance measurement

adsb-attack-simulation

Sourcecode for the simulation of ADS-B attacks

Amazon-Forest-Computer-Vision

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

CD_NR_ELM

The matlab code for the JARS16 paper "Change Detection from Synthetic Aperture Radar Images Based on Neighborhood-Based Ratio and Extreme Learning Machine"

CD_PCANET

The matlab code for the GRSL16 paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet"

CRPM-Net

PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

tandachi/CD_NR_ELM

The matlab code for the JARS16 paper "Change Detection from Synthetic Aperture Radar Images Based on Neighborhood-Based Ratio and Extreme Learning Machine"

tandachi/Amazon-Forest-Computer-Vision

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

tandachi/CD_PCANET

The matlab code for the GRSL16 paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet"

tandachi/cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

tandachi/CV-CNN

tandachi/deepbayes-2018

Seminars DeepBayes Summer School 2018

tandachi/Ensemble-Methods-for-Image-Classification

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

tandachi/G2DPCA_demo_1

Scripts for the paper: Generalized 2-D principal component analysis by Lp-norm for image analysis.

tandachi/GNN

Grokking Neural Networks

tandachi/gnn_few_shot_cifar100

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

tandachi/Grammatical-facial-expression-recognition

Recognizing grammatical facial expressions using customized deep neural network architecture

tandachi/graph-cnn-MNIST

tandachi/handong1587.github.io

tandachi/Keras

In Repository you can find various problem solved using Deep learning algorithm like Artificial Neural Network,Convolutional Neural network,Recurrent Neural Network, AutoEncoder with Keras

tandachi/keras-non-local-nets

Keras implementation of Non-local Neural Networks

tandachi/keras_learning

tandachi/Label-embeddings-in-image-classification

Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classification particularly using CNNs with more focus on the relation or similarity between class labels. The similarity between labels is judged using label word embeddings and incorporated into the loss layer. We propose that shallower networks be learnt with more complex and structured losses, in order to gain from shorter training time and equivalent complexity. We train two variants of CNNs with multiple architectures , all limited to a maximum of ten convolution layers to obtain an accuracy of 93.27% on the Fashion-MNIST dataset and 86.40% on the CIFAR 10 dataset. We further probe the adversarial robustness of the model as well the classspecific behavior by visualizing the class confusion matrix.We also show some preliminary results towards extending a trained variant to zero-shot learning.

tandachi/labelSmoothing

Regularizing NN Using Label Smoothing on MNIST and GTSRB Datasets

tandachi/MyDeepMetric

An implementation of "Semantic Instance Segmentation via Deep Metric Learning" with tensorflow

tandachi/PyTorch-Spectral-clustering

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

tandachi/pytorch_sparse_collab_filt

Collaborative filtering in pytorch using sparse tensors

tandachi/rnn2d

CPU and GPU implementations of some 2D RNN layers

tandachi/Satellite-Segmentation

tandachi/SpectralNet

Deep network that performs spectral clustering