Seonbeom Kim (SeonbeomKim)

SeonbeomKim

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Company:Kakao

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Seonbeom Kim's repositories

TensoFlow-Basic-deep-learning

Linear Regression, Logistic Regression, Fully Connected Neural Network, Recurrent Neural Network, Convolution Neural Network

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TensorFlow-lstm-char-cnn

Character-Aware Neural Language Models (Yoon Kim), lstm-char-cnn

TensorFlow-Transformer

Attention Is All You Need

Python-Byte_Pair_Encoding

Byte Pair Encoding (BPE)

TensorFlow-Matching_Networks_for_One_Shot_Learning

Matching Networks for One Shot Learning

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TensorFlow-TextCNN

TextCNN (Convolutional Neural Networks for Sentence Classification - Yoon Kim)

TensorFlow-InfoGAN

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

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TensorFlow-pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

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Numpy_RecurrentNeuralNetwork-LSTM-

Numpy_RecurrentNeuralNetwork

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TensorFlow-GloVe

GloVe: Global Vectors for Word Representation

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TensorFlow-Word2vec

Skip-gram, Cbow

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Numpy_ConvolutionalNeuralNetwork

Numpy_ConvolutionalNeuralNetwork

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Numpy_FullyConnectedNeuralNetwork

Fully Connected Neural Network, Numpy, Computational graph

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TensorFlow-Image-Style-Transfer

Image Style Transfer Using Convolutional Neural Networks

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TensorFlow-MemN2N

End-To-End Memory Networks

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TensorFlow-vanilla-GAN

Generative Adversarial Network

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agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

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bert

TensorFlow code and pre-trained models for BERT

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framework-determinism

Providing determinism in deep learning frameworks

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implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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nvgpu

NVIDIA GPU tools - monitoring on CLI & web app with multiple agents

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reco-gym

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

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sqlalchemy

The Database Toolkit for Python

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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