Hyungjoo Cho (NySunShine)

NySunShine

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Company:TomoCube

Location:Seoul

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Hyungjoo Cho's starred repositories

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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models

Models and examples built with TensorFlow

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LLM101n

LLM101n: Let's build a Storyteller

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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dataset

The Open Images dataset

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improved-gan

Code for the paper "Improved Techniques for Training GANs"

faster_rcnn_pytorch

Faster RCNN with PyTorch

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dlbook_notation

LaTeX files for the Deep Learning book notation

Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

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gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

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yolo2-pytorch

YOLOv2 in PyTorch

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

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Coursera-Machine-Learning

Coursera Machine Learning - Python code

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warp-ctc

Pytorch Bindings for warp-ctc

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bdl-benchmarks

Bayesian Deep Learning Benchmarks

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dl_tutorials_10weeks

Deep Learning Tutorials for 10 Weeks

dsb2018_topcoders

DSB2018 [ods.ai] topcoders

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sugartensor

A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.

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SRGAN

A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)

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pyinn

CuPy fused PyTorch neural networks ops

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Keras-Tutorials

Simple tutorials using Keras Framework

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pytorch-practice

Some example scripts on pytorch

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TensorFlowKR-2017-talk-bestpractice

đź’¬ Slides and Tutorial Codes for the talk 'Toward Best Practices of TensorFlow Code Patterns' (2017)

2018DSB

2018 Data Science Bowl 2nd Place Solution

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Kaggle-EEG

Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.

kaggle-seizure-prediction-challenge-2016

Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle

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deeplearning_class

Deep-learning tutorial with tensorflow

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