Tae Hwan Jung

nlp-tutorial. Natural Language Processing Tutorial for Deep Learning Researchers

nlp-roadmap. ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

distribution-is-all-you-need. The basic distribution probability Tutorial for Deep Learning Researchers

gpt-2-Pytorch. Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

xlnet-Pytorch. Simple XLNet implementation with Pytorch Wrapper

commit-autosuggestions. A tool that AI automatically recommends commit messages.

ai-docstring. Visual Studio Code extension to quickly generate docstrings for python functions using AI(NLP) technology.

ALBERT-Pytorch. Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

toeicbert. TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.

modelsummary. All Model summary in PyTorch similar to `model.summary()` in Keras

matorage. Matorage is tensor(multidimensional matrix) object storage manager for deep learning framework(Pytorch, Tensorflow V2, Keras)

KorQuAD-beginner. Guide KorQuAD upload to leaderboard (EM 68.947 / F1 88.468) model which only use BERT-multilingual(single)

aws-kubeflow. A guideline for basic use and installation of kubeflow in AWS.

vision-tutorial. Computer Vision Tutorial for Deep Learning Researchers

DAC. Deep Adaptive Image Clustering Paper Implementation

DeepLearning-Study. This is repository for DeepLearning Study in Kyung Hee University

horovod-ansible. Create Horovod cluster easily using Ansible

aws-kubeadm-terraform. create kubernetes cluster on AWS only typing 'terraform apply' on 3 minutes.

kubernetes-glusterfs-aws. file system clustering as glusterfs in kubernetes environment on aws platform

linux0.11-kernel-code-review. The old Linux kernel source ver 0.11 review with line by line for OS lecture.

mlm-pipeline. mlm-pipeline is a cloud architecture that preprocesses the masked language model (mlm)

awesome-production-machine-learning. A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

khuthon2018. 딥러닝을 사용한 맛집 분석 - 2018년 쿠톤(해커톤)

enc2dec-dataloader. PyTorch DataLoader for Encoder to Decoder Model

projects. MY PROJECT LIST AT A GLANCE 🌈🚀🦄

transformers. 🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

graykode.github.io. graykode's blog

xlnet. XLNet: Generalized Autoregressive Pretraining for Language Understanding

intellij-foundry. Kotlin

ALGORITHM-MASTER. I LOVE ALGORITHM

modelaverage. tf-keras, make the average of model weight in same model.

nlpblock. Use Abstractions Level Block for NLP with Pytorch

mnist-flow. This Project is only repository for solving AI Engineer Party

ml-kubernetes-tutorial. very basic tutorial for who interesting in Machine Learning Serving with Docker, Kubernetes, Kubeflow

nlp-advance. Simple Paper Implementation Code about all model after Attention is all you need(Transformer)

kubeFL. Federated Learning Infra Architecture on Kubernetes(EKS)

nonce-python. 2019 github seminar in D.COM

tensorflow. An Open Source Machine Learning Framework for Everyone

graykode.

MNIST. Simple example for learning and serving 'MNIST' in kubernetes cluster

commitgpt. Automatically generate commit messages using ChatGPT