scumechanics

Adventures-in-TensorFlow-Lite

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

android_tflite

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

AndroidML-1-Concrete-Strength-Predictor-App

Anomaly_Detection

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

Landslide-Susceptibility-Prediction-Using-Machine-Learning-Algorithms

Landslide Susceptibility Prediction and Identification of Most Significant Factors that best describe an area is susceptible to Landslides or not based on Explainable Artificial Intelligence to solve the challenging BlackBox problem of state art Artificial Intelligence based methods.

Landslide_detection_using_Mask_RCNN_new

ML_Projrct_Concrete_Strength_Prediction

Perform These algorithms: - Linear Regression - Lasso Regression - Ridge Regression - Decision Tree Regressor - Random Forest Regressor - KNN Regressor - SVM Regressor AND Pick each of the algorithm and perform These steps: o Split your data between train and test steps. Build your model List down the evaluation metrics you would use to evaluate the performance of the model? Evaluate the model on training data o Predict the response variables for the test data How are the two scores? Are they significantly different? Are they the same? Is the test score better than training score?

XGB-SHAP-concrete-interface-shear-strength

Accurate prediction of the shear strength of the interface between old and new concrete (cold joints) is essential for the design or assessment of precast and retrofitted concrete structures. The XGBoost and Shapley Additive exPlanations technique were used to develop an explainable ML-model for interface shear strength prediction of the cold joints. This package contains the code of the model and the collected database.

scumechanics/android_tflite

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

scumechanics/AndroidML-1-Concrete-Strength-Predictor-App

scumechanics/Concrete-Strength-Prediction-Model

This repository contains code for concrete strength prediction deep learning model made with keras and tensorflow.

scumechanics/Saliency-Maps-of-Cracked-Concrete

The Saliency map shows exactly which pixels are most used to make to prediction ,can be seen as rough image segementation

scumechanics/A-SMD-Based-Domain-Adaptive-Change-Detection-Method

A Segmentation Map Difference-Based Domain Adaptive Change Detection Method

scumechanics/Crack_Detection_Detectron2

scumechanics/crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

scumechanics/Deep-Learning-HRTEM-Images-Gold-Nanoparticles

scumechanics/DeepDeconvResUNet

Landslide segmentation using Deep Deconvolutional Residual UNet

scumechanics/Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

scumechanics/fair-sslime

FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)

scumechanics/frmod

A tool for the frequency (or likelihood) ratio analysis of raster grids. Can be used for estimating landslide susceptibility.

scumechanics/gda_teal_carbon

Analysis of raster inputs for wetland identification and carbon stock modeling

scumechanics/ICESat-2_Snowdepth

Evaluating the efficacy of ICESat-2 data to measure snow depth over Tuolumne Meadows, CA.

scumechanics/Landslide_detection_using_Mask_RCNN

Freely available landslide photographs are collected from distinct sources to create the training dataset. Transfer learning is used for achieving good results with finite training samples. Object detection task is performed on landslide photographs for achieving landslide detection with minimal dataset using a pre-trained Mask R-CNN model.

scumechanics/LiCSBAS

LiCSBAS: InSAR time series analysis package using LiCSAR products

scumechanics/MatSeed

The universal deep learning model for transfer leaning to predict physical properties of inorganic materials

scumechanics/Mechanical_Vibrations

Analysis of 2D and 3D frame structure under seismic load.

scumechanics/Mirror-Glass-Detection

🍸 Mirror & Glass Detection in Real-world Scenes

scumechanics/ML_Pothole

contains dataset and other tools for developing tf model

scumechanics/Pix2Pix_CFD

An AI model to depict fluid flow.

scumechanics/Pothole-Dataset

my dataset

scumechanics/python-for-geospatial-data-analysis

This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.

scumechanics/Satellite_Imagery_Analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

scumechanics/seismic_segmentation

Segmentation of seismic images through CNNs

scumechanics/Semantic-Segmentation-1

I will upload many semantic segmentation models to this repository for you to learn

scumechanics/Semantic-segmentation-methods-for-landslide-detection

Semantic-segmentation-methods-for-landslide-detection

scumechanics/Semantic-segmentation-with-U-Net

Semantic segmentation on earthquake data with U-net

scumechanics/The-Big-One-Ground-Shaking-and-Landslides-Coming-to-a-Neighborhood-Near-You

scumechanics/Topology-optimization