tandachi Goto Github PK

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"

cnn-svm

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

cosine_softmax_keras

Quick implementation of Deep Cosine Metric Learning for Person Re-Identification in Keras

crpm-net

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

cv-cnn

danet-keras

keras-Dual Attention Network for Scene Segmentation

dcca-keras-tensorflow

Deep Canonical Correlation Analysis - Implemented using the Keras functional API and tensorflow backend

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deepbayes-2018

Seminars DeepBayes Summer School 2018

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

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.

g2dpca_demo_1

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

gnn

Grokking Neural Networks

gnn_few_shot_cifar100

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

grammatical-facial-expression-recognition

Recognizing grammatical facial expressions using customized deep neural network architecture

graph-cnn-mnist

handong1587.github.io

interm

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

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-non-local-nets

Keras implementation of Non-local Neural Networks

keras-octconv

Keras implementation of Octave Convolutions

keras-triplet-center-loss

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset