Pinned Repositories
-MAHiDFNet
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data
40-Algorithms-Every-Programmer-Should-Know
40 Algorithms Every Programmer Should Know, published by Packt
60daysbitacora
Is the 60 days machine learning and financial risk management attempt.
A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification-
age-gender-estimation
Keras implementation of a CNN network for age and gender estimation
ARIMA
Simple python example on how to use ARIMA models to analyze and predict time series.
Automatic-Target-Classification-In-SAR-Images-Using-Convolutional-Neural-Networks
SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
behavior-driven-python
Example Test Automation Project using Python with Behave
MARTA-GAN
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Dalal1983's Repositories
Dalal1983/-MAHiDFNet
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data
Dalal1983/40-Algorithms-Every-Programmer-Should-Know
40 Algorithms Every Programmer Should Know, published by Packt
Dalal1983/Blood-Stain-Detection-using-3D-CNN
Blood Stain Detection Using 3D CNN from Hyperspectral Images.
Dalal1983/blstm
Dalal1983/Book-Data-science-and-machine-learningPrograms
Programs
Dalal1983/CRV
Compression and Reinforced Variation (CRV) Method
Dalal1983/Dual-Stream-MHSI
Offical Code for "Factor Space and Spectrum for Medical Hyperspectral Image Segmentation" (MICCAI2023)
Dalal1983/ETR
Dalal1983/federated-learning-lib
A library for federated learning (a distributed machine learning process) in an enterprise environment.
Dalal1983/FHIC
Dalal1983/Gearbox-Hybrid-CNN-SVM
The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a Convolutional Neural Network (CNN) to obtain features directly from the original vibration signals of a gearbox with different pinion conditions. Experimental data is used to show the efficiency of the presented method. Support Vector Machine (SVM) is utilized to classify feature sets extracted with 1D-CNN. The obtained results show that the features extracted in this method have excellent quality for fault classification without any additional feature selection.
Dalal1983/GRB-T-MLPD-Multi-Label-Pedestrian-Detection
[RA-L with IROS2021] Multi-Label Pedestrian Detection in Multispectral data
Dalal1983/House-Prices-Advanced-Regression-Techniques
Sequential Forward Selection (SFS) model stacking
Dalal1983/HSI_blood_detection
Dalal1983/HybridCNN-based-hyperspectral-image-classification-using-multiscale-spatiospectral-features
Python Implementation for HybridCNN
Dalal1983/Hyperspectral-_Spectral-Placental-Analysis-and-Segmentation
This repo contains Vgg16-UNet model for segmenting 37 channel hyperspectral images. Pre-trained Vgg16 on ImageNet with transfer learning handles small datasets. Batch normalization, dropout, Adam optimization for training with fixed image size. Improved results for fully supervised model.
Dalal1983/Hyperspectral-and-Multimodal-Cancer-Classification-with-Siamese-and-GAN-
Dalal1983/Hyperspectral-Images-Processing
Dalal1983/Hyperspectral-KNN-Classification
This work contains KNN classification of Hyperspectral Satellite Images using the given groundtruth and finding success rate of the method. You can download the hypersectral images using the link below :http://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes&redirect=no#Pavia_University_scene
Dalal1983/IDA
Dalal1983/Land-Cover-Classification-using-Sentinel-2-Dataset
Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.
Dalal1983/LPPN
Official code repository of Laplacian Pyramid Pansharpening Network
Dalal1983/Mish
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Dalal1983/PCA-Tutorial
A simple tutorial to PCA
Dalal1983/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Dalal1983/spark-deep-learning
Deep Learning Pipelines for Apache Spark
Dalal1983/SpectralNET
Dalal1983/SSKNet
Hyperspectral Image Classification Based On Spatial and Spectral Kernels Generation Network
Dalal1983/TimeSeriesForecastingInPython
Dalal1983/Urban_Sprawl