scumechanics Goto Github PK

2022-project---carotid-artery-screening-by-wireless-handheld-ultrasound

3d-convneuralnet-material-property-prediction

This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction

4d-seismic-neural-inversion

Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion

a-smd-based-domain-adaptive-change-detection-method

A Segmentation Map Difference-Based Domain Adaptive Change Detection Method

acoustical_monitoring

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

adventures-in-tensorflow-lite

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

adversarial-variational-autoencoder-training-for-cfd-simulations

anamoly-detection-petroleum

Data Science Project to detect the position of anamolies/flaws/metal loss in petrol pipelines(each pipe) using data provided by a device called "Pig" that travels inside the pipes.

anamolydetectionalgorithmforagriculture

android-demo-app

PyTorch android examples of usage in applications

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-with-gan

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

anomaly_detection

anomalydetectionintimeseriesdata-keras

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

asphalt_crack_segmentation

Binary Semantic Segmentation to identify cracks on asphalt road

audio_embedding_segmentation

Extracting audio embeddings based on a gated CNN trained using Audioset. A change point detection algorithm based on embeddings.

augly

A data augmentations library for audio, image, text, and video.

automatic-outlier-detection-anomoly-detection

how to use automatic outlier detection and removal to improve machine learning predictive modeling performance

awesome-remote-sensing-change-detection

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

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bayesgrad

BayesGrad: Explaining Predictions of Graph Convolutional Networks

bayesian-changepoint-detection

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

bayesianchangepointdetection

Bayesian Changepoint detection implementation applied to a number of examples

bayesianhyperparamopt

A comparative study of the hyperparameter optimization algorithms on a MLP using IRIS dataset

bayesianonlinechangepointdetection

bayesianoptimization

Hyperparameter Search by Bayesian Optimization

bearing-anomaly-detection-using-machine-learning

Showcase how machine learning can help operators monitor equipment conditions through correctly analyzing measurement data collected from many sensors.

bhm