taehoonkoo's repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
kogpt
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
JORLDY
Repository for Open Source Reinforcement Learning Framework JORLDY
acme
A library of reinforcement learning components and agents
bigbird
Transformers for Longer Sequences
jupyterlab_app
A desktop application for JupyterLab, based on Electron.
deep_learning_with_tensorflow
Deep Learning with TensorFlow for basic neural networks tasks, computer vision and natural language processing.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
recommender_system_with_Python
recommender system tutorial with Python
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
openchat
Easy to use opensource chatting framework via neural networks
image-retrieval-service
Implementing image retrieval with siamese newtorks and resnet feature extractor approches
Hands-On-Artificial-Intelligence-for-Banking
Hands-On Artificial Intelligence for Banking, published by Packt
KoBART
Korean BART
tfs-workshop
Deep Learning Inference hands-on labs; Learn how to host pre-trained TensorFlow/MXNet models to Amazon SageMaker Endpoint without building Docker Image
LM-kor
Pretrained Language Models for Korean
graph-notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.
hello-docker
docker container command practice for DS & developers
sagemaker-reinvent2019-kr
Korean localization of the SageMaker notebooks added in AWS re:Invent 2019
sagemaker-studio-workshop-kr
Korean localized SageMaker Studio workshop materials for hands-on labs.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
transformer-evolution
Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.
model-card-toolkit
a tool that leverages rich metadata and lineage information in MLMD to build a model card