Sunkyum Kim (blue-science-ai)

blue-science-ai

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Company:Blue Science

Location:Seoul/Kor

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Sunkyum Kim's repositories

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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bert

TensorFlow code and pre-trained models for BERT

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BERT4Rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

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BERT4Rec-VAE-Pytorch

Pytorch implementation of BERT4Rec and Netflix VAE.

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bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

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FinanceDataReader

Financial data reader

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flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

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gensim

Topic Modelling for Humans

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GloVe

GloVe model for distributed word representation

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gluon-nlp

NLP made easy

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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jina

Build cross-modal and multimodal applications on the cloud

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khaiii

Kakao Hangul Analyzer III

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LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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mame

MAME

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MAMEToolkit

A Python toolkit used to train reinforcement learning algorithms against arcade games

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multi-label-soft-f1

Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0

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NeuRec

Next RecSys Library

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rappor

RAPPOR: Privacy-Preserving Reporting Algorithms

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recommenders

Best Practices on Recommendation Systems

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splade

SPLADE: sparse neural search (SIGIR21, SIGIR22)

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stellargraph

StellarGraph - Machine Learning on Graphs

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tensorflow

Computation using data flow graphs for scalable machine learning

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tokenizers

šŸ’„Fast State-of-the-Art Tokenizers optimized for Research and Production

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torchquantum

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

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ULTRA

Unbiased Learning To Rank Algorithms (ULTRA)

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