Seyoung Park (seyoung-solteq)

seyoung-solteq

Geek Repo

Company:@Solteq

Location:Helsinki

Home Page:https://www.linkedin.com/in/hello-seyoung/

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Seyoung Park's repositories

ai-notebooks

Some ipython notebooks implementing AI algorithms

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automl

Google Brain AutoML

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azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

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Computational-Photography

This repo contains lecture notes and codes for Computational Photography course on Udacity.

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CRAFT-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

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CRNN

Convolutional recurrent neural network for scene text recognition or OCR in Keras

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DepthCapture

iOS application for capturing video and depth data to file

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EasyOCR

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

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efficientdet

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

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keras-ocr

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

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ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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pycon

PyCon talk examples

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pycon-concurrency-tutorial-2020

Main repo of PyCon 2020 Tutorial

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rotated_maskrcnn

Rotated Mask R-CNN: From Bounding Boxes to Rotated Bounding Boxes

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SceneTextPapers

Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized

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SKU110K-DenseDet

A state of art detector for densely packed scenes dataset SKU-110K

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svgfig

Automatically exported from code.google.com/p/svgfig

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SynthText

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

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tesserocr

A Python wrapper for the tesseract-ocr API

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ZeroShotVideoClassification

Zero-shot video classification by end-to-end training of 3D convolutional neural networks

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