Official Implementation of Web-based Visual Corpus Builder (Webvicob), ICDAR 2023

OpenAI CLIP text encoders for multiple languages!

An open source implementation of CLIP.

거꾸로 읽는 self-supervised learning 파트 1

Polyglot: Large Language Models of Well-balanced Competence in Multi-languages

An integrated library for Korean language preprocessing.

Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets

Code for text augmentation method leveraging large-scale language models

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

Pytorch implementation of "A Probabilistic Formulation of Unsupervised Text Style Transfer" by He. et. al. at ICLR 2020

Official code and data repository for our EMNLP 2020 long paper "Reformulating Unsupervised Style Transfer as Paraphrase Generation" (https://arxiv.org/abs/2010.05700).

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

Paper bank for Self-Supervised Learning

Paper List for Style Transfer in Text

A mobile ML project to detect turtle neck posture while your working

novelty detection based on BERT

Breeze is/was a numerical processing library for Scala.

This project is for performing compressed sensing reconstruction of sparse signal via the BHT-BP solver.

NeurIPS'18: Masking: A New Perspective of Noisy Supervision

EverybodyTensorflow with tf2.x

Backend.AI Web UI for web / desktop app (Windows/Linux/macOS). Backend.AI Web UI provides a convenient environment for users, while allowing various commands to be executed without CLI. It also pro…

한국어 임베딩 (Sentence Embeddings Using Korean Corpora)

A collection of paper for the noisy label problems

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks