kimyoon-young's repositories

centerNet-deep-sort

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

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deepMOT

Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.

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EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

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embedding

한국어 임베딩 (Sentence Embeddings Using Korean Corpora)

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fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

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image-classification

image classifcation with sample datasets

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Kaggler

Code for Kaggle Data Science Competitions

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lime

Lime: Explaining the predictions of any machine learning classifier

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practicalAI

📚 A practical approach to learning and using machine learning.

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product_recognition

yolov3 based product_recognition

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product_recognition_opencv

yolov3 detector ( cpu version )

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pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

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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.

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Stronger-yolo

Improve yolo with latest paper

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tsfresh

Automatic extraction of relevant features from time series:

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video-capture-async

Multithreaded video capture with OpenCV and Python

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