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/concreteIn_inpection_VGGF

Concrete Crack and Spalling Detection using Deep Neural Network

scumechanics/acoustical_monitoring

Acoustical monitoring framework for damage detection in concrete structures during earthquakes.

scumechanics/Anomaly-Detection-with-GAN

Steel defect detection intern project in PIRL(Postech information Research Laboratories)

scumechanics/Bayesian-Changepoint-Detection

High Frequency Time series Anomaly Detection using Online Bayesian Changepoint Detection Algorithm

scumechanics/bhm

scumechanics/BMC

Notes on Scientific Computing for Biomechanics and Motor Control

scumechanics/CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization

Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected images of defects against a pre-existing reconstructed 3D point cloud of the bridge. We also investigate methods of reducing computation time with ML-based and conventional CV methods of segmentation to eliminate redundant keypoints. Our project successfully localizes the defect images and achieves a savings in runtime from filtering keypoints.

scumechanics/DNN_magnet

Dataset and Architectures for a hysteresis model of a magnetorheological damper complement of the article entitle A Deep Neural Network based model for a kind of magnetorheological dampers.

scumechanics/Githubdemo

scumechanics/GMM_based_Change_Detection_Framework_Using_Very_High_resolution_Satellite_Imagery

scumechanics/Houston_flooding

Using A Segmentation Neural Net to map out flooded areas of Houston TX using satellite imagery

scumechanics/hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

scumechanics/hysteresis-1

Looking at hysteresis

scumechanics/Image-Based-CFD-Using-Deep-Learning

Undergraduate Research Project

scumechanics/Mask_RCNN_concrete

Apply mask rcnn to concrete CT image -- Revealing the Secrets of Ancient Roman Concrete with Image Segmentation

scumechanics/Satellite_Flood_Segmentation_of_Harvey

scumechanics/seismic-simulation-wavenet

Fast approximate simulation of seismic waves using WaveNet

scumechanics/seismicanomalies

Identify seismic anomalies with image training

scumechanics/spark

Apache Spark

scumechanics/Steady-State-Flow-With-Neural-Nets

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

scumechanics/TerraeMotus

Earthquake warning system using recurrent neural networks

scumechanics/TGS-Salt-Identification-Image-Segmentation-

This is a Kaggle competition on Image Segmentation. We have to identify pixels in seismic images with salt sediment present. Here I will use UNet (Encoder and Decoder) to tackle the challenge.

scumechanics/u_net

u net (remote sensing image segmentation)

scumechanics/wekaDeeplearning4j

Weka package for the Deeplearning4j java library