Web-App which predicts the plant disease by analysing their leaf image.
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Updated
May 9, 2019 - HTML
Web-App which predicts the plant disease by analysing their leaf image.
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Este repositorio estará basado en la explicación paso a paso en el uso de TensorFlow, Google Colab, y Python en los entrenamientos de Machine Learning para luego usar a través de HTML y JSON los modelos aprendidos por una red neuronal.
practice with emphasis on the design and application of learning algorithms.
Real time application of Sentiment Analysis on Movie Reviews. A Machine Learning Flask App hosted on Heroku and created on Google Colab. https://swetakesurnlp-playground.herokuapp.com
Quantitative analysis of inscriptions, detecting road networks in the ancient Mediterranean based on inscriptions
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"Computational and Social Science" project course (Ca' Foscari University, Venice)
JavaScript Client-Side Bitcoin Wallet Generator Google Colab
JavaScript Client-Side Bitcoin Wallet Generator Google Colab
Javascript implementation of the Bitcoin protocol for any Bitcoin based coins, on server and inside browsers, discover and move/manage your coins by yourself: Bitcoin transactions made simple for standard or multisig wallets, segwit and bech32 are supported, create and send by your own your Bitcoin Google Colab
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Deploying a Netflix Recommender System on Heroku Cloud
The Plant Leaf Disease Detection repository is a comprehensive project built using Django and Flask frameworks, aimed at assisting in the identification and diagnosis of diseases affecting plant leaves.
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ในโครงการนี้ จะดำเนินการตรวจจับและนับยานพาหนะในภาพหรือวิดีโอที่กำหนด เราจะใช้ OpenCV สำหรับการประมวลผลภาพและ Haar cascade ซึ่งใช้สำหรับการตรวจจับวัตถุ นอกจากนี้ยังสามารถสร้างตัวแยกประเภท haar cascade ของเราเองได้อีกด้วย
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