Oh, Geun-moon (gm06041)

gm06041

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Location:Seoul Korea

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Oh, Geun-moon's repositories

awesome-deep-learning-papers

The most cited deep learning papers

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bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

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bulbea

Deep Learning based Python Library for Stock Market Prediction and Modelling

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data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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data-science-machine-learning-ai-big-data-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), big data, and more. Includes links, notebooks, articles, books, cheat sheets, whitepapers, lists, and technical papers

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Deep-Learning-101

Deep Learning Tutorials

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

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DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

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dl-workshop

Deep learning workshop @ SNU

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dl_tutorials

Deep learning tutorials (2nd ed.)

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dl_tutorials_3rd

Deep learning tutorials (third edition)

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do-it-dl

<Do it! 딥러닝 입문> 도서의 주피터 노트북

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easy_seq2seq

[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq

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ebgan

A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.

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face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

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fastText

Library for fast text representation and classification.

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glusterfs

Gluster Filesystem - (this is only a public mirror, see the README for contributing)

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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keras2cpp

This is a bunch of code to port Keras neural network model into pure C++.

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learnopencv

Learn OpenCV : C++ and Python Examples

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Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

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simdkalman

Python Kalman filters vectorized as Single Instruction, Multiple Data

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Tensorflow-101

TensorFlow Tutorials

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TensorFlow-Tutorials

Simple tutorials using Google's TensorFlow Framework

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tesseract

Tesseract Open Source OCR Engine (main repository)

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TrainYourOwnYOLO

Train a state-of-the-art yolov3 object detector from scratch!

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tutorials

The "REST With Spring" Course:

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