Jaewook Kang's repositories
self-supervised-learning-narratives-1
거꾸로 읽는 self-supervised learning 파트 1
SSL-narratives-NLP-1
거꾸로 읽는 self-supervised learning in NLP
SSL-narratives-VLM-1
거꾸로 읽는 SSL 시즌3 - VLM
automl-papers-in-practice
A collection of paper for the noisy label problems
EverybodyTensorflow2.0
EverybodyTensorflow with tf2.x
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
tflite-convertor
a custom converter
autoprompt
AutoPrompt: Automatic Prompt Construction for Masked Language Models.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-machine-learning-operations
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-speech-recognition-speech-synthesis-papers
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
colossus-helloworld-service
To be familiar with Colossus
CS20
Refactoring contents and codes of CS20 : Tensorflow for Deep Learning Research
docs
TensorFlow documentation
end-to-end-machine-learning-with-google-cloud
End to End Machine Learning with Google Cloud Platform
hangul-utils
An integrated library for Korean language preprocessing.
polyglot
Polyglot: Large Language Models of Well-balanced Competence in Multi-languages
python-the-hardway
A playground to make a python practice
question-classification
Question Classification for the dataset UIUC's CogComp QC Dataset - [ http://cogcomp.org/Data/QA/QC/ ].
scala-bootcamp
For personal study of functional programming and scala
Style-Transfer-in-Text
Paper List for Style Transfer in Text
TensorFlow-1
Deep Learning Zero to All - Tensorflow
tensorflow-eager-papers
Classical deep learning paper implementation using tensorflow's eager execution
universal-triggers
Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)