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Van-Hoang Le's Projects

awesome-log-analysis icon awesome-log-analysis

A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

bpmn-js icon bpmn-js

A BPMN 2.0 rendering toolkit and web modeler.

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

diagram-js icon diagram-js

A toolbox for displaying and modifying diagrams on the web.

dracula icon dracula

JavaScript layout and representation of connected graphs.

logagent-js icon logagent-js

Extensible log shipper with input/output plugins, buffering, parsing, data masking, and small memory/CPU footprint

loghub icon loghub

A large collection of system log datasets for AI-powered log analytics

logparser icon logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

sigma.js icon sigma.js

A JavaScript library dedicated to graph drawing

springy icon springy

A force directed graph layout algorithm in JavaScript

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

textclassification-keras icon textclassification-keras

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

tpa-lstm icon tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting

treant-js icon treant-js

Treant.js - javascript library for drawing tree diagrams

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