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This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction
Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion
A Segmentation Map Difference-Based Domain Adaptive Change Detection Method
Acoustical monitoring framework for damage detection in concrete structures during earthquakes.
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
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.
PyTorch android examples of usage in applications
GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer
Steel defect detection intern project in PIRL(Postech information Research Laboratories)
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.
Binary Semantic Segmentation to identify cracks on asphalt road
Extracting audio embeddings based on a gated CNN trained using Audioset. A change point detection algorithm based on embeddings.
A data augmentations library for audio, image, text, and video.
how to use automatic outlier detection and removal to improve machine learning predictive modeling performance
List of datasets, codes, and contests related to remote sensing change detection
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
:metal: awesome-semantic-segmentation
BayesGrad: Explaining Predictions of Graph Convolutional Networks
High Frequency Time series Anomaly Detection using Online Bayesian Changepoint Detection Algorithm
Bayesian Changepoint detection implementation applied to a number of examples
A comparative study of the hyperparameter optimization algorithms on a MLP using IRIS dataset
Hyperparameter Search by Bayesian Optimization
Showcase how machine learning can help operators monitor equipment conditions through correctly analyzing measurement data collected from many sensors.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.