14 skills found
pmlg / GAMEncodingGramian Angular Field - Encoding Time Series as Images
viafcccy / ScatteredLiquidComponentAnalysisApproach主要提出了一种从多谱线特征层融合角度提出了基于格拉姆角场（Gramian angular field）与多尺度卷积神经网络（multi-scale convolutional neural network）的光谱特征提取方法，使用格拉姆角场将一维光谱信号变换为二维图像增强了信号特征，使用多尺度卷积神经网络提取图像特征，利用特征向量回归计算金属离子浓度。
iDestro / Gramian Angular Field In PytorchA implementation of Gramian Angular Field (GAF) in Pytorch.
sayang14 / Classification Of Mental Stress From Wearable Physiological Sensors Using Deep Neural NetworkStress detection using Convolutional Neural Network and Gramian Angular Field images
polya-xue / Hyperspectral Image Classification Based On Gramian Angular Fields EncodingNo description available
finn96 / Gramian Angular Fields OhlcAn exploration of OHLC Candlestick Pattern Classification via imaging of 1D price data with GAFs
aaivu / Aaivu Pump And Dump Detection Crypto CurrenciesInspired by the immense success shown by artificial neural networks in computer vision on images classification, we propose a novel framework to detect one of the rife fraudulent financial manipulations in crypto currency trading world known as pump and dump. The representation of crypto currency financial charts was re-imagined to ameliorate the classification by taking advantage of some of the very recent advancements of time series to spatial encoding techniques of Gramian Angular Field (GAF), Markov Transition Field (MTF) and Recurrence plots (RP) that are capable of spatially encoding the temporal financial time series data in the form of images. Encoded images were then used to train several convolutional neural network architectures which have been able to achieve a very high precision, recall and F1 values close to 99% over the unseen data for the above classification task. This is one of the first of such researches in pump and dump detection in crypto currencies using computer vision. This approach has the potential to be extended in detecting predefined shapes of time series charts.
kochlisGit / VIT2This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.
wesley1001 / FTCwithImagesFinancial Time Series Classification using Images from Gramian Angular Fields
wangmaodemao / One Dimensional Spectral Data Into Two Dimensional ImagesConvert one-dimensional data to two-dimensional images using gramian angular field.
hvsw / TS2ImageA tool to read EEG data from some well-known file formats and export as images using Gramian Angular Field.
k-fillmore / Gramian Angular Fields ForexNo description available
Supercaly / Gramian Angular FieldPorting of the algorithm to compute Gramian Angular Fields in matlab
elisakathrin / Forecasting Price Movements Of IT ETFs Using CNNsTechnical analysis methods applied for feature creation; Gramian Angular Fields and Markov Transition Fields for image encoding.
